Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Learning Physically Simulated Tennis Skills from Broadcast Videos demonstrate that system produces controllers for physically-simulated tennis players that can hit the incoming ball to target positions accurately using a diverse array of strokes (serves, forehands, and backhands), spins (topspins and slices), and playing styles (one/two-handed backhands, left/right-handed play). Overall,... show more

AK

485,127 subscribers

125,502 views • 3 years ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

10 Comments

Mike Rodriguez3 years ago

@Scobleizer This is amazing. That being said, I can imagine broadcast sports and media companies not taking kindly to this. They have the power to shut things down for a lot of us. As opposed to artists who might not have the budget to attempt to retain usage rights.

尬聊3 years ago

I know I'm too late but prepare for all the "actually their technique sucks" takes

James Darpinian3 years ago

Those movements don't look realistic at all. They're supposed to be physically simulated?

Noah Basketball2 years ago

Train your shooters on the same technology the top coaches use for player evaluation. #MakeMoreShots #WinMoreGames

Gustavo3 years ago

bloody incredible. Not lifelike just yet but not far off

William Lamkin3 years ago

I’d be curious to see this kind of research for MMA. I would imagine the system might come across interesting and novel submission moves, unexpected fake outs, discover unexploited weaknesses and strange ways of leveraging the human form for combat, etc.

Michael Ehrmantraut3 years ago

Two-handed backhand needs some work. Also forehands could use the same adjustment. Namely to take the racquet back higher and then drop it down into place (rather than the low take back).

Jama Noor3 years ago

I think this would allow for training in VR, where previously unscalable, now any significant set of high quality video should allow for improved human training. Everyone can afford a 1-on-1 tutor at the highest level in any sport.

Chloro3 years ago

@Algon_33

Akshay 🚀3 years ago

Interesting! I particularly liked the single handed backhand & the kick serve!!

Related Videos

Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing discuss: We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal precision. Instead of directly learning a joint policy to control two hands, our approach performs bimanual control through cooperative learning where each hand is treated as an individual agent. The individual policies for each hand are first trained separately, and then synchronized through latent space manipulation in a centralized environment to serve as a joint policy for two-hand control. By doing so, we avoid directly performing policy learning in the joint state-action space of two hands with higher dimensions, greatly improving the overall training efficiency. We demonstrate the effectiveness of our proposed approach in the challenging guitar-playing task. The virtual guitarist trained by our approach can synthesize motions from unstructured reference data of general guitar-playing practice motions, and accurately play diverse rhythms with complex chord pressing and string picking patterns based on the input guitar tabs that do not exist in the references. Along with this paper, we provide the motion capture data that we collected as the reference for policy training.

Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing discuss: We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal precision. Instead of directly learning a joint policy to control two hands, our approach performs bimanual control through cooperative learning where each hand is treated as an individual agent. The individual policies for each hand are first trained separately, and then synchronized through latent space manipulation in a centralized environment to serve as a joint policy for two-hand control. By doing so, we avoid directly performing policy learning in the joint state-action space of two hands with higher dimensions, greatly improving the overall training efficiency. We demonstrate the effectiveness of our proposed approach in the challenging guitar-playing task. The virtual guitarist trained by our approach can synthesize motions from unstructured reference data of general guitar-playing practice motions, and accurately play diverse rhythms with complex chord pressing and string picking patterns based on the input guitar tabs that do not exist in the references. Along with this paper, we provide the motion capture data that we collected as the reference for policy training.

AK

26,855 views • 1 year ago

I am so fortunate to still play tennis at my age. But there sure is a lot of (completely worth it) prep work involved! Here's some background on my pre-tennis routine from this video: 1. Put on two braces: one on each knee 2. Switch to my tennis glasses, and l always carry a backup pair with me, just in case. One pair is a throwback to my favorite pair from the 1970s 3. Wear gloves, both to protect my hands from sun, and also to help with carpal tunnel 4. Use exercise bands to warm up shoulders, triceps, and biceps for forehands/ backhands. 60 reps for each 5. Perform 20 squats + stretching. And an important tip: Watch the ball all the way to the contact point. At the pro level, 50% of balls are missed because of not watching the ball all the way to the contact point. At the rec level, it's 90%. Get out there and play!

I am so fortunate to still play tennis at my age. But there sure is a lot of (completely worth it) prep work involved! Here's some background on my pre-tennis routine from this video: 1. Put on two braces: one on each knee 2. Switch to my tennis glasses, and l always carry a backup pair with me, just in case. One pair is a throwback to my favorite pair from the 1970s 3. Wear gloves, both to protect my hands from sun, and also to help with carpal tunnel 4. Use exercise bands to warm up shoulders, triceps, and biceps for forehands/ backhands. 60 reps for each 5. Perform 20 squats + stretching. And an important tip: Watch the ball all the way to the contact point. At the pro level, 50% of balls are missed because of not watching the ball all the way to the contact point. At the rec level, it's 90%. Get out there and play!

Billie Jean King

47,378 views • 1 year ago

In our league the play stops when the ball gets back to the pitcher. So getting it back in fast is everything! Our team was struggling with it so I came up with this game on the fly. One practice. Fixed. And the kids were BEGGING to play it again! Here's how it works: ⚾ Two teams. Defense takes their positions. ⚾ Hit through the full order with a tennis racket and tennis ball. ⚾ Every base touched before the ball gets back to the pitcher = 1 point. ⚾ For example: Pitcher secures the ball between second and third? 2 points. ⚾ Out at first before runner gets there or fly ball caught? Zero points. ⚾ Score and keep running if the ball still isn't back. The play never stops until the pitcher has it in the pitchers circle . Works on getting the ball back in fast, backing up throws, base running, communication, and teamwork. We saw a massive difference the very next game! PLEASE SHARE with someone this can help! ⚾💪🔥

In our league the play stops when the ball gets back to the pitcher. So getting it back in fast is everything! Our team was struggling with it so I came up with this game on the fly. One practice. Fixed. And the kids were BEGGING to play it again! Here's how it works: ⚾ Two teams. Defense takes their positions. ⚾ Hit through the full order with a tennis racket and tennis ball. ⚾ Every base touched before the ball gets back to the pitcher = 1 point. ⚾ For example: Pitcher secures the ball between second and third? 2 points. ⚾ Out at first before runner gets there or fly ball caught? Zero points. ⚾ Score and keep running if the ball still isn't back. The play never stops until the pitcher has it in the pitchers circle . Works on getting the ball back in fast, backing up throws, base running, communication, and teamwork. We saw a massive difference the very next game! PLEASE SHARE with someone this can help! ⚾💪🔥

David Klein

44,156 views • 4 months ago

“I can always be better than I was yesterday”: Novak Djokovic is one of the greatest athletes of all time, but he told Gayle King that he’s aware of how his body responds differently now that he’s been playing elite tennis for more than two decades. Djokovic shared about scaling back on the court to spend more time with his family, falling in love with tennis as a young child in Serbia and Serena Williams’ return: “It’s a gift for us.” “Novak Djokovic: The Wolf in Winter,” a documentary on Amazon Prime about the tennis star, premieres next month.

“I can always be better than I was yesterday”: Novak Djokovic is one of the greatest athletes of all time, but he told Gayle King that he’s aware of how his body responds differently now that he’s been playing elite tennis for more than two decades. Djokovic shared about scaling back on the court to spend more time with his family, falling in love with tennis as a young child in Serbia and Serena Williams’ return: “It’s a gift for us.” “Novak Djokovic: The Wolf in Winter,” a documentary on Amazon Prime about the tennis star, premieres next month.

CBS Mornings

21,797 views • 22 days ago

Self Toss short-hop feeds drill. 1 hop and 2 hop variations. Ball hit at you, declared backhands and glove side picks. A player can get a lot of reps in a very small space. Keys: in order to be on time to the short hop, the toss can’t be too far out front, too low or too fast. You have to start low, play low and move low (with precision feet). Why? Everything happens really fast, especially 1 hop rep variation. If you are late, you get an in-between hop. Really late and/or very lazy feet … you get a big hop. We are not working fielding either of those hops in this drill. Be on time to the short hop. Another key: On ball tossed directly in front (grounder at you) it prevents exaggerated “rounding off” the ball. Not enough time before ball hits the earth and you have to be there on time to the 1” hop. This creates a much more realistic game like rep and approach to the ball. We use a line in video to show how the alignment works. Notice how he is set up with left ear near the line. He is “preset” as far off center as he would need to get on a game rep. Left ear or left shoulder is as far off center as you ever need to get to read speed and hops at ball hit right at you. (Left handed throwers are opposite ear). If you do this drill with baseballs and a target on a net, you can finish the play with a throw and follow. Really creative and you can do this same self feed drill or your own variation to work on your double play “feeds” or slow rollers. Another variation is throwing a ball off a wall. But walls are not always available. Especially when using a baseball. We are using a tennis ball in this video. Dirt Bro Baseball

Self Toss short-hop feeds drill. 1 hop and 2 hop variations. Ball hit at you, declared backhands and glove side picks. A player can get a lot of reps in a very small space. Keys: in order to be on time to the short hop, the toss can’t be too far out front, too low or too fast. You have to start low, play low and move low (with precision feet). Why? Everything happens really fast, especially 1 hop rep variation. If you are late, you get an in-between hop. Really late and/or very lazy feet … you get a big hop. We are not working fielding either of those hops in this drill. Be on time to the short hop. Another key: On ball tossed directly in front (grounder at you) it prevents exaggerated “rounding off” the ball. Not enough time before ball hits the earth and you have to be there on time to the 1” hop. This creates a much more realistic game like rep and approach to the ball. We use a line in video to show how the alignment works. Notice how he is set up with left ear near the line. He is “preset” as far off center as he would need to get on a game rep. Left ear or left shoulder is as far off center as you ever need to get to read speed and hops at ball hit right at you. (Left handed throwers are opposite ear). If you do this drill with baseballs and a target on a net, you can finish the play with a throw and follow. Really creative and you can do this same self feed drill or your own variation to work on your double play “feeds” or slow rollers. Another variation is throwing a ball off a wall. But walls are not always available. Especially when using a baseball. We are using a tennis ball in this video. Dirt Bro Baseball

Trent Mongero

34,163 views • 1 year ago

Can vision-language-action (VLA) models generalize to diverse OOD tasks and align with customized objectives? 🤔 🚀 We introduce GRAPE, a plug-and-play algorithm to generalize robot policies via preference alignment. GRAPE unfolds three benefits to boost the generalizability of VLAs: 👉1. GRAPE aligns VLAs on a trajectory level and endows the model with the ability for global decision-making, instead of merely cloning behavior; 👉2. GRAPE implicitly models reward from both successful and failed trials to boost generalizability to diverse tasks; 👉3. GRAPE adopts a scalable preference synthesis algorithm to rank trajectories with preferences that align with arbitrary objectives. Our experiments on a diverse array of real-world and simulated robotic tasks reveal: 1⃣GRAPE enhances the performance of state-of-the-art VLA models, increasing success rates on in-domain and unseen manipulation tasks by 51.79% and 60.36%; 2⃣GRAPE is versatile to be aligned with diverse objectives and reduce collision rates by 44.31% or rollout length by 11.15% when aligning towards safer or more efficient manipulation policy, respectively. Check out our full project for more details: 🔥 Paper: 🔥 Project: 🔥 Code:

Can vision-language-action (VLA) models generalize to diverse OOD tasks and align with customized objectives? 🤔 🚀 We introduce GRAPE, a plug-and-play algorithm to generalize robot policies via preference alignment. GRAPE unfolds three benefits to boost the generalizability of VLAs: 👉1. GRAPE aligns VLAs on a trajectory level and endows the model with the ability for global decision-making, instead of merely cloning behavior; 👉2. GRAPE implicitly models reward from both successful and failed trials to boost generalizability to diverse tasks; 👉3. GRAPE adopts a scalable preference synthesis algorithm to rank trajectories with preferences that align with arbitrary objectives. Our experiments on a diverse array of real-world and simulated robotic tasks reveal: 1⃣GRAPE enhances the performance of state-of-the-art VLA models, increasing success rates on in-domain and unseen manipulation tasks by 51.79% and 60.36%; 2⃣GRAPE is versatile to be aligned with diverse objectives and reduce collision rates by 44.31% or rollout length by 11.15% when aligning towards safer or more efficient manipulation policy, respectively. Check out our full project for more details: 🔥 Paper: 🔥 Project: 🔥 Code:

Huaxiu Yao

19,988 views • 1 year ago

AI TENNIS ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, PYTORCH, AND KEYPOINT EXTRACTION. Take any tennis match broadcast, any camera angle, any resolution. Feed it into the pipeline. YOLO detects both players and the tennis ball frame by frame. No manual labeling, no pre-annotated dataset. A fine-tuned YOLOv5 model trained on a Roboflow tennis ball dataset handles the ball - the hardest object to track in any sport. Tiny, fast, constantly occluded. The model finds it anyway. Trackers maintain identity across frames so Player 1 stays Player 1 from the first serve to match point. But detection is just the start. A ResNet50 CNN trained in PyTorch predicts court keypoints from every frame - the corners, service lines, baselines, net posts. Fourteen points that define the entire playing surface geometry. From those keypoints the system builds a homography matrix and warps the broadcast perspective into a top-down mini court with real coordinates. Now every player has a position in real space, not pixel space. Every frame becomes a measurement. Every rally becomes a dataset. Player movement speed - calculated from position deltas between frames, converted to meters per second through the homography. Ball shot speed - measured from the ball trajectory across consecutive detections. Number of shots per rally - counted automatically through ball direction changes. All of this rendered live on the video as an overlay. A mini court in the corner showing both players as dots moving in real time. Stats updating after every point. OpenCV handles the rendering. Pandas handles the math. PyTorch handles the intelligence. YOLO handles the eyes. No Hawkeye subscription, no court-embedded sensors, no tracking chips in the ball. A Python script, a trained model, and a GPU. The full code is on GitHub. The tutorial walks through every module - from ball detector training to court keypoint extraction to the final statistical overlay. Professional teams used to need broadcast deals and proprietary hardware for this kind of analysis. Now you build it in an afternoon with open-source tools. Trading here: Computer vision didn't just enter tennis. It made the expensive stuff free.

AI TENNIS ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, PYTORCH, AND KEYPOINT EXTRACTION. Take any tennis match broadcast, any camera angle, any resolution. Feed it into the pipeline. YOLO detects both players and the tennis ball frame by frame. No manual labeling, no pre-annotated dataset. A fine-tuned YOLOv5 model trained on a Roboflow tennis ball dataset handles the ball - the hardest object to track in any sport. Tiny, fast, constantly occluded. The model finds it anyway. Trackers maintain identity across frames so Player 1 stays Player 1 from the first serve to match point. But detection is just the start. A ResNet50 CNN trained in PyTorch predicts court keypoints from every frame - the corners, service lines, baselines, net posts. Fourteen points that define the entire playing surface geometry. From those keypoints the system builds a homography matrix and warps the broadcast perspective into a top-down mini court with real coordinates. Now every player has a position in real space, not pixel space. Every frame becomes a measurement. Every rally becomes a dataset. Player movement speed - calculated from position deltas between frames, converted to meters per second through the homography. Ball shot speed - measured from the ball trajectory across consecutive detections. Number of shots per rally - counted automatically through ball direction changes. All of this rendered live on the video as an overlay. A mini court in the corner showing both players as dots moving in real time. Stats updating after every point. OpenCV handles the rendering. Pandas handles the math. PyTorch handles the intelligence. YOLO handles the eyes. No Hawkeye subscription, no court-embedded sensors, no tracking chips in the ball. A Python script, a trained model, and a GPU. The full code is on GitHub. The tutorial walks through every module - from ball detector training to court keypoint extraction to the final statistical overlay. Professional teams used to need broadcast deals and proprietary hardware for this kind of analysis. Now you build it in an afternoon with open-source tools. Trading here: Computer vision didn't just enter tennis. It made the expensive stuff free.

zostaff

120,370 views • 3 months ago

Tennis players live 9.7 years longer than sedentary people. Not 9.7 months. 9.7 years. Nearly a decade. The Copenhagen City Heart Study tracked 8,577 people for 25 years and ranked every sport by how much life it adds. Badminton: 6.2 years. Soccer: 4.7. Cycling: 3.7. Swimming: 3.4. Jogging: 3.2. Tennis almost triples jogging. A separate study of 80,000 adults found racket sports cut all-cause mortality by 47% and cardiovascular death by 56%. Swimming hit 41%. Aerobics hit 36%. The question is why racket sports destroy everything else. Three mechanisms stack on top of each other. First, the physical demands. A tennis rally requires explosive sprints, lateral cuts, and sustained aerobic output. You're training fast-twitch and slow-twitch muscle fibers simultaneously. Most cardio only trains one system. Second, the cognitive load. You're reading spin, predicting angles, adjusting position, and executing motor patterns in real-time. Your brain is solving spatial puzzles at 80+ mph. That hand-eye coordination and strategic processing builds neural connections that protect against cognitive decline. Third, and this is the one researchers keep coming back to: you literally cannot play alone. Every racket sport requires another person on the other side of the net. That forced social interaction triggers neurochemical benefits that solitary exercise cannot replicate. Strong social connection alone increases your chance of longevity by 50%. Jogging is you and your thoughts. Tennis is you, a strategic opponent, and a community. Dr. Daniel Amen is right. The data is overwhelming. If you want the single highest-ROI activity for a longer life, pick up a racket.

Tennis players live 9.7 years longer than sedentary people. Not 9.7 months. 9.7 years. Nearly a decade. The Copenhagen City Heart Study tracked 8,577 people for 25 years and ranked every sport by how much life it adds. Badminton: 6.2 years. Soccer: 4.7. Cycling: 3.7. Swimming: 3.4. Jogging: 3.2. Tennis almost triples jogging. A separate study of 80,000 adults found racket sports cut all-cause mortality by 47% and cardiovascular death by 56%. Swimming hit 41%. Aerobics hit 36%. The question is why racket sports destroy everything else. Three mechanisms stack on top of each other. First, the physical demands. A tennis rally requires explosive sprints, lateral cuts, and sustained aerobic output. You're training fast-twitch and slow-twitch muscle fibers simultaneously. Most cardio only trains one system. Second, the cognitive load. You're reading spin, predicting angles, adjusting position, and executing motor patterns in real-time. Your brain is solving spatial puzzles at 80+ mph. That hand-eye coordination and strategic processing builds neural connections that protect against cognitive decline. Third, and this is the one researchers keep coming back to: you literally cannot play alone. Every racket sport requires another person on the other side of the net. That forced social interaction triggers neurochemical benefits that solitary exercise cannot replicate. Strong social connection alone increases your chance of longevity by 50%. Jogging is you and your thoughts. Tennis is you, a strategic opponent, and a community. Dr. Daniel Amen is right. The data is overwhelming. If you want the single highest-ROI activity for a longer life, pick up a racket.

Aakash Gupta

5,245,831 views • 3 months ago

Medvedev was asked what it would take for players ranked No. 3 to No. 15 to challenge Sinner & Alcaraz, ‘Everyone can beat them on a given day… I’m not shy to say that if I play 10 matches each with Carlos & Jannik, I’ll probably lose a lot of them’ “I wanted to ask if the players ranked 3 to 15 are playing about the same level and can win on any day? And what it would take for that bunch to challenge Jannik and Carlos.” Daniil: “Jannik and Carlos it’s tough. They just play better tennis than other guys. I think what’s important is that I played a lot of big names in tennis, and you can beat anyone on a given day. I’m not shy to say that if I play 20 matches against Carlos and Jannik, let’s say 10 with each of them, I’ll probably lose a lot of them. But I’m gonna try my best in every one of them to win. Out of 10 matches, you can win some. I’m not gonna say a number, but you can win. They can have a bit of an off day. I did beat both of them in Grand Slams.” (via Australian Open Press)

Medvedev was asked what it would take for players ranked No. 3 to No. 15 to challenge Sinner & Alcaraz, ‘Everyone can beat them on a given day… I’m not shy to say that if I play 10 matches each with Carlos & Jannik, I’ll probably lose a lot of them’ “I wanted to ask if the players ranked 3 to 15 are playing about the same level and can win on any day? And what it would take for that bunch to challenge Jannik and Carlos.” Daniil: “Jannik and Carlos it’s tough. They just play better tennis than other guys. I think what’s important is that I played a lot of big names in tennis, and you can beat anyone on a given day. I’m not shy to say that if I play 20 matches against Carlos and Jannik, let’s say 10 with each of them, I’ll probably lose a lot of them. But I’m gonna try my best in every one of them to win. Out of 10 matches, you can win some. I’m not gonna say a number, but you can win. They can have a bit of an off day. I did beat both of them in Grand Slams.” (via Australian Open Press)

The Tennis Letter

600,451 views • 6 months ago

🚨 BREAKING: Microsoft's first robotics foundation model! 🤯 Microsoft just announced Rho-alpha (ρα), their first robotics model derived from the Phi series of vision-language models. Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks. Commands like "push the green button with the right gripper," "pull out the red wire," "flip the top switch on," or "turn the knob to position 5" get executed directly by dual-arm robots. What makes this different from standard vision-language-action (VLA) models is the additional modalities. Rho-alpha is a VLA+ model that adds tactile sensing to the perceptual mix, with plans to incorporate force feedback. On the learning side, the model is designed to continually improve during deployment by learning from human feedback. The training approach combines trajectories from physical demonstrations and simulated tasks with web-scale visual question answering data. Since teleoperation data is scarce and expensive, Microsoft is using NVIDIA Isaac Sim on Azure to generate physically accurate synthetic datasets via reinforcement learning. These simulated trajectories get combined with commercial and open physical demonstration datasets. The model is currently under evaluation on dual-arm setups and humanoid robots. Microsoft is opening an Early Access Program for organizations interested in evaluating Rho-alpha. Robots that can adapt to dynamic situations and human preferences are more useful in real environments and more trusted by the people operating them. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🚨 BREAKING: Microsoft's first robotics foundation model! 🤯 Microsoft just announced Rho-alpha (ρα), their first robotics model derived from the Phi series of vision-language models. Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks. Commands like "push the green button with the right gripper," "pull out the red wire," "flip the top switch on," or "turn the knob to position 5" get executed directly by dual-arm robots. What makes this different from standard vision-language-action (VLA) models is the additional modalities. Rho-alpha is a VLA+ model that adds tactile sensing to the perceptual mix, with plans to incorporate force feedback. On the learning side, the model is designed to continually improve during deployment by learning from human feedback. The training approach combines trajectories from physical demonstrations and simulated tasks with web-scale visual question answering data. Since teleoperation data is scarce and expensive, Microsoft is using NVIDIA Isaac Sim on Azure to generate physically accurate synthetic datasets via reinforcement learning. These simulated trajectories get combined with commercial and open physical demonstration datasets. The model is currently under evaluation on dual-arm setups and humanoid robots. Microsoft is opening an Early Access Program for organizations interested in evaluating Rho-alpha. Robots that can adapt to dynamic situations and human preferences are more useful in real environments and more trusted by the people operating them. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

60,928 views • 6 months ago

Alignment trouble looks like a setup problem. Often it's a perception problem. A right-handed, right-eye dominant player often has more difficulty aligning to the target than a cross-dominant player. If alignment is an issue, here are two of our favorite strategies that Dr. Rose introduces in our advanced Golf curriculum. 1) Move the reference spot behind the ball: Instead of picking a reference spot in front of the ball, pick a spot behind the ball on the target line and walk in looking at that. For same-side dominant players, this moves the spot closer to their dominant eye. 2) Keep it binocular: Pick a spot in front and keep your eye on it as you walk in. Draw the line from the ball through the spot, square yourself to it, then walk into the shot. This keeps both eyes working together the whole time. Poor alignment can quietly hinder progress, and a player's visual system can make it even harder to correct. Our next Golf Level 3 seminar is October 9th - 11th at TPI HQ. Golf Level 2 is available via online course.

Alignment trouble looks like a setup problem. Often it's a perception problem. A right-handed, right-eye dominant player often has more difficulty aligning to the target than a cross-dominant player. If alignment is an issue, here are two of our favorite strategies that Dr. Rose introduces in our advanced Golf curriculum. 1) Move the reference spot behind the ball: Instead of picking a reference spot in front of the ball, pick a spot behind the ball on the target line and walk in looking at that. For same-side dominant players, this moves the spot closer to their dominant eye. 2) Keep it binocular: Pick a spot in front and keep your eye on it as you walk in. Draw the line from the ball through the spot, square yourself to it, then walk into the shot. This keeps both eyes working together the whole time. Poor alignment can quietly hinder progress, and a player's visual system can make it even harder to correct. Our next Golf Level 3 seminar is October 9th - 11th at TPI HQ. Golf Level 2 is available via online course.

TPI

50,417 views • 1 month ago

In one of the coolest moments in rock history, Eddie Van Halen stood inside the Smithsonian’s National Museum of American History and broke down exactly how he invented his legendary finger-tapping technique. He explained how he stumbled on the idea as a kid — inspired by piano and classical techniques — and later saw Jimmy Page playing with one hand and turned it into the explosive sound that changed guitar forever. Then he plugged in and unleashed “Eruption” live, right there in the museum. Watching Eddie demonstrate the birth of modern tapping in such a historic setting? Pure magic. That two-handed technique went from his bedroom to stadiums worldwide and influenced an entire generation of players. Eddie didn’t just play guitar — he rewrote the rules. One of the greatest innovators rock has ever seen. Rest in power, EVH.

In one of the coolest moments in rock history, Eddie Van Halen stood inside the Smithsonian’s National Museum of American History and broke down exactly how he invented his legendary finger-tapping technique. He explained how he stumbled on the idea as a kid — inspired by piano and classical techniques — and later saw Jimmy Page playing with one hand and turned it into the explosive sound that changed guitar forever. Then he plugged in and unleashed “Eruption” live, right there in the museum. Watching Eddie demonstrate the birth of modern tapping in such a historic setting? Pure magic. That two-handed technique went from his bedroom to stadiums worldwide and influenced an entire generation of players. Eddie didn’t just play guitar — he rewrote the rules. One of the greatest innovators rock has ever seen. Rest in power, EVH.

Roy Rogers Happy Trails Music Shop

362,008 views • 1 month ago

Mojo Australian Open Quarterfinals 🧙🏼‍♂️🇦🇺🎾 —— 5U MAX 2026: (18-3) 85.71% 🏦 —— 5U 🇺🇸Ben Shelton +7.0 games (-155) 🔮 Seven games for Shelton when he is arguably playing the best tennis of his career is too many. Shelton has only been broken 3 times this entire tournament and has played better overall players by a landslide than Sinner. Shelton has hit 184 winners to 115 unforced errors in his 4 matches in Melbourne. This stat alone shows the quality of tennis Shelton has been playing. Sinner has hit 152 winners to 99 unforced errors. Shelton has a slight advantage in winners/unforced errors ratio while playing better opponents… And we are getting 7 games. Look, I know Sinner is insane and I know the history between these two players. I will tell you I have watched Shelton play shout 100 matches of professional tennis and the confidence he is playing with right now is unlike anything I have seen from him. While on the contrary Sinner has not looked anything above his typical level. Give me the 7 games. Even if Shelton gets broken once in every single set, we still cover or push. 6-3 6-4 6-4 | 6-4 6-4 6-4 . And this is assume we don’t get any break chances of our own. If Shelton can confidently hold serve like he has been doing all tournament then it will open the door for him to be hyper aggressive on return and go for shots that will win him the match. I love this play. Let’s get it 🧙🏼‍♂️

Mojo Australian Open Quarterfinals 🧙🏼‍♂️🇦🇺🎾 —— 5U MAX 2026: (18-3) 85.71% 🏦 —— 5U 🇺🇸Ben Shelton +7.0 games (-155) 🔮 Seven games for Shelton when he is arguably playing the best tennis of his career is too many. Shelton has only been broken 3 times this entire tournament and has played better overall players by a landslide than Sinner. Shelton has hit 184 winners to 115 unforced errors in his 4 matches in Melbourne. This stat alone shows the quality of tennis Shelton has been playing. Sinner has hit 152 winners to 99 unforced errors. Shelton has a slight advantage in winners/unforced errors ratio while playing better opponents… And we are getting 7 games. Look, I know Sinner is insane and I know the history between these two players. I will tell you I have watched Shelton play shout 100 matches of professional tennis and the confidence he is playing with right now is unlike anything I have seen from him. While on the contrary Sinner has not looked anything above his typical level. Give me the 7 games. Even if Shelton gets broken once in every single set, we still cover or push. 6-3 6-4 6-4 | 6-4 6-4 6-4 . And this is assume we don’t get any break chances of our own. If Shelton can confidently hold serve like he has been doing all tournament then it will open the door for him to be hyper aggressive on return and go for shots that will win him the match. I love this play. Let’s get it 🧙🏼‍♂️

MOJO 🧙🏼‍♂️

37,303 views • 6 months ago

Many developing football countries often overlook a crucial aspect when it comes to nurturing young talent. The key lies not only in coaching but in fostering a deep bond between a child and the ball. Rather than focusing solely on technical skills, it is vital to spark a child's interest in playing with the ball from a young age. The concept of "Football Starts at Home Mindset" challenges the traditional approach by emphasizing ball mastery as the foundation for skill development and the vital role parents can play. By instilling this practice early on, children can establish neural connections essential for precise ball control. Creating an emotionally engaging environment through repetitive play enhances deep learning and fosters long-term memory retention. This process transforms deliberate practice into an enjoyable and automated experience, where movements become ingrained in implicit memory. Ultimately, ball mastery transcends conventional training methods, offering a holistic approach that merges physical skill with cognitive development. #FootballSkills #YouthDevelopment #BallMastery #SportsEducation #LittleAiden

Many developing football countries often overlook a crucial aspect when it comes to nurturing young talent. The key lies not only in coaching but in fostering a deep bond between a child and the ball. Rather than focusing solely on technical skills, it is vital to spark a child's interest in playing with the ball from a young age. The concept of "Football Starts at Home Mindset" challenges the traditional approach by emphasizing ball mastery as the foundation for skill development and the vital role parents can play. By instilling this practice early on, children can establish neural connections essential for precise ball control. Creating an emotionally engaging environment through repetitive play enhances deep learning and fosters long-term memory retention. This process transforms deliberate practice into an enjoyable and automated experience, where movements become ingrained in implicit memory. Ultimately, ball mastery transcends conventional training methods, offering a holistic approach that merges physical skill with cognitive development. #FootballSkills #YouthDevelopment #BallMastery #SportsEducation #LittleAiden

Tom Byerトム•バイヤー

12,808 views • 2 years ago

Hexagons and Octagons Those who follow football and coaching will be well aware that there are trends that emerge and become the great break through in coaching, only to vanish quite quickly. A few stick around and become a staple. Such as the rondo, or the 4v4+4 Guardiola rondo variation. One that did not stick around in the coaching collective consciousness that possible should have was Thomas Tuchel’s use of hexagonal and octagonal playing areas in training sessions. Tuchel explained that cutting off the corners and angling the pitch forced “sharp diagonal” passes that would help break the press. The positioning of players outside the hexagon/octagon or players close to the edges will be manipulated into an open body shape by the angles of the pitch. Players are impacted by environmental constraints and embodied cognition, where the geography of the playing area influences their actions. This influence spreads to the creation of triangles and diamonds within the playing area due to the “funnel” like nature of the playing area. We can use the cut outside angles by placing bounce or target players on the exterior, influencing the movement and organisation internally. The inside players will not have to move wide as those areas are occupied. The internal players will seek to create passing angles using the positioning of the outside players and their internal team mates. The diamonds and triangles will appear. If we leave the spaces on the outside empty players can move to fill the spaces. These act as free spaces to receive from the goalkeeper or open spaces for attackers to overlap into, encouraging attacking combination play and crosses. A different way of using the space is to remove goals and goalkeepers from the ends and place bounce/target players on the outside. Players now can combine with the outside players, when they do so they are then free to finish into the outside goals. The condition can be extended to combining with the target player in the opposite side of the pitch before scoring, adding an element of switching play. The hexagon and octagon are versatile spaces that help to replicate aspects of the game. By funneling the spaces we impact players body shape, ability to play forward quickly, team shape (or small group shapes), players cutting in, defending centrally, the types of combination used and the angles of line breaking pass (diagonals). The angles are hugely significant for teams that value combinations and possession football, Straight passes and receiving angles are much easier to intercept and carry high risks for being counter attacked. Short diagonals can bypass players and attacking shapes, creating angled connections. If an angles pass is given away there is still a risk of being counter attacked but there is more chance of having players around the ball to regain possession. To counter press. The question that emerges is should we then be using hexagons and octagons more? If they are of greater benefit than squares and rectangles, why use them? Should all pitches, including those of a small sided nature be hexagonal? Can the rondo square be replaced by the rondo octagon?

Hexagons and Octagons Those who follow football and coaching will be well aware that there are trends that emerge and become the great break through in coaching, only to vanish quite quickly. A few stick around and become a staple. Such as the rondo, or the 4v4+4 Guardiola rondo variation. One that did not stick around in the coaching collective consciousness that possible should have was Thomas Tuchel’s use of hexagonal and octagonal playing areas in training sessions. Tuchel explained that cutting off the corners and angling the pitch forced “sharp diagonal” passes that would help break the press. The positioning of players outside the hexagon/octagon or players close to the edges will be manipulated into an open body shape by the angles of the pitch. Players are impacted by environmental constraints and embodied cognition, where the geography of the playing area influences their actions. This influence spreads to the creation of triangles and diamonds within the playing area due to the “funnel” like nature of the playing area. We can use the cut outside angles by placing bounce or target players on the exterior, influencing the movement and organisation internally. The inside players will not have to move wide as those areas are occupied. The internal players will seek to create passing angles using the positioning of the outside players and their internal team mates. The diamonds and triangles will appear. If we leave the spaces on the outside empty players can move to fill the spaces. These act as free spaces to receive from the goalkeeper or open spaces for attackers to overlap into, encouraging attacking combination play and crosses. A different way of using the space is to remove goals and goalkeepers from the ends and place bounce/target players on the outside. Players now can combine with the outside players, when they do so they are then free to finish into the outside goals. The condition can be extended to combining with the target player in the opposite side of the pitch before scoring, adding an element of switching play. The hexagon and octagon are versatile spaces that help to replicate aspects of the game. By funneling the spaces we impact players body shape, ability to play forward quickly, team shape (or small group shapes), players cutting in, defending centrally, the types of combination used and the angles of line breaking pass (diagonals). The angles are hugely significant for teams that value combinations and possession football, Straight passes and receiving angles are much easier to intercept and carry high risks for being counter attacked. Short diagonals can bypass players and attacking shapes, creating angled connections. If an angles pass is given away there is still a risk of being counter attacked but there is more chance of having players around the ball to regain possession. To counter press. The question that emerges is should we then be using hexagons and octagons more? If they are of greater benefit than squares and rectangles, why use them? Should all pitches, including those of a small sided nature be hexagonal? Can the rondo square be replaced by the rondo octagon?

TheBeardedCoach

13,461 views • 5 months ago

Cameron Young is playing with a golf ball that would allegedly be compliant with the new roll back rules that will come into effect in a few years time. He was asked about it ahead of the PGA Championship and he says every player in the game is sacrificing distance for control, and he put it in play at the Wyndham last year which he won. “I think I put it in play the same reason that everybody else plays the ball that they play. I hit it during a ball test, one of the Titleist facilities probably close to two years ago and didn't know anything about it and just kind of say, hey, what's that one? Because I liked the flight. “Then as things progressed, I was able to test it last year at Wyndham, able to put that in play, and it's been there since. “Obviously there is no conforming list. I wasn't aware that it would have -- I suppose I read something that said it passed that test, but I wasn't aware of that until very recently. “So at no point was that a consideration. It was just really me trying to optimize my golf, and it's the ball that seems to work the best for me.” He then was asked whether he lost distance with it compared to other balls he’s tested: “Not particularly. I don't think any of us are out really here playing the ball that goes the farthest. I think you'd struggle to find a single person that's doing that. We're all sacrificing a certain amount of things that we feel are worth it, control with irons, control with wedges. For me, that's the biggest thing is being able to control spin, and this is the ball that does the best for me.” Finally he can as asked whether this ball goes further than the one he was using: “No, I hit very similar, yeah. It's much more -- the driver is kind of the easiest thing to deal with, I feel like. For me to get it where it needed to be, I had to just add a little bit of spin, and it kind of comes out at a perfectly playable range. “For me, the biggest thing, like I said, is the irons. This ball is easier to control with the irons. It doesn't spin as much, and it just allows me to be better with my distance control just because it's more consistent.” The golf ball rollback has been a hugely controversial subject but Cameron Young is currently using one that’s compliant and he is playing the best golf of his career. This gives the best idea yet on what impact, or lack of it, the new rules will actually have on the sport. PGA Championship

Cameron Young is playing with a golf ball that would allegedly be compliant with the new roll back rules that will come into effect in a few years time. He was asked about it ahead of the PGA Championship and he says every player in the game is sacrificing distance for control, and he put it in play at the Wyndham last year which he won. “I think I put it in play the same reason that everybody else plays the ball that they play. I hit it during a ball test, one of the Titleist facilities probably close to two years ago and didn't know anything about it and just kind of say, hey, what's that one? Because I liked the flight. “Then as things progressed, I was able to test it last year at Wyndham, able to put that in play, and it's been there since. “Obviously there is no conforming list. I wasn't aware that it would have -- I suppose I read something that said it passed that test, but I wasn't aware of that until very recently. “So at no point was that a consideration. It was just really me trying to optimize my golf, and it's the ball that seems to work the best for me.” He then was asked whether he lost distance with it compared to other balls he’s tested: “Not particularly. I don't think any of us are out really here playing the ball that goes the farthest. I think you'd struggle to find a single person that's doing that. We're all sacrificing a certain amount of things that we feel are worth it, control with irons, control with wedges. For me, that's the biggest thing is being able to control spin, and this is the ball that does the best for me.” Finally he can as asked whether this ball goes further than the one he was using: “No, I hit very similar, yeah. It's much more -- the driver is kind of the easiest thing to deal with, I feel like. For me to get it where it needed to be, I had to just add a little bit of spin, and it kind of comes out at a perfectly playable range. “For me, the biggest thing, like I said, is the irons. This ball is easier to control with the irons. It doesn't spin as much, and it just allows me to be better with my distance control just because it's more consistent.” The golf ball rollback has been a hugely controversial subject but Cameron Young is currently using one that’s compliant and he is playing the best golf of his career. This gives the best idea yet on what impact, or lack of it, the new rules will actually have on the sport. PGA Championship

Flushing It

311,493 views • 2 months ago

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

50,063 views • 7 months ago

This World Cup has shown how Argentinian players are just built different, and it was interesting because, in the press conferences, both managers addressed this. First, Tuchel talks about the Argentinian value of the ball and how they protect the ball at all costs, how they manage those small spaces, and how they learn this from a young age. He references culture, and this is exactly it. A child playing in a certain environment leads to that. Not every Argentinian child is on the national team, but it raises the ceiling. It creates a certain type of style and a certain type of player. Then Scaloni also references his culture. He sees them play without fear of losing. It comes from playing in an environment where you are constantly faced with the potential of losing and being able to play with that pressure, right? They don’t fight against it. They play with it. They use it. And I think this is where youth football coaches should really take note. This does not mean we should copy and paste Argentinian culture into every training environment, because culture cannot just be copied. But the values within that culture can be inculcated in every training environment. The value of the ball. The courage to receive it in small spaces. The ability to protect it under pressure. The confidence to keep playing after a mistake. The willingness to play with the possibility of losing rather than constantly trying to avoid it. Those values can become part of the environment we create every day. They can be present in the games we design, in what we praise, in what we allow players to struggle with, and in how we respond when they lose the ball. If every mistake leads to the coach stopping the session, giving the answer, or taking the pressure away, then players never learn to play with that pressure. They learn to wait for the coach. It was cool to see how two managers, at such a big stage, reference culture and the environments that kids play in when they’re young. Because the players we see on the biggest stage were not only created by tactics or coaching information. They were created by environments that taught them what to value, how to relate to the ball, and how to play when there was something to lose.

This World Cup has shown how Argentinian players are just built different, and it was interesting because, in the press conferences, both managers addressed this. First, Tuchel talks about the Argentinian value of the ball and how they protect the ball at all costs, how they manage those small spaces, and how they learn this from a young age. He references culture, and this is exactly it. A child playing in a certain environment leads to that. Not every Argentinian child is on the national team, but it raises the ceiling. It creates a certain type of style and a certain type of player. Then Scaloni also references his culture. He sees them play without fear of losing. It comes from playing in an environment where you are constantly faced with the potential of losing and being able to play with that pressure, right? They don’t fight against it. They play with it. They use it. And I think this is where youth football coaches should really take note. This does not mean we should copy and paste Argentinian culture into every training environment, because culture cannot just be copied. But the values within that culture can be inculcated in every training environment. The value of the ball. The courage to receive it in small spaces. The ability to protect it under pressure. The confidence to keep playing after a mistake. The willingness to play with the possibility of losing rather than constantly trying to avoid it. Those values can become part of the environment we create every day. They can be present in the games we design, in what we praise, in what we allow players to struggle with, and in how we respond when they lose the ball. If every mistake leads to the coach stopping the session, giving the answer, or taking the pressure away, then players never learn to play with that pressure. They learn to wait for the coach. It was cool to see how two managers, at such a big stage, reference culture and the environments that kids play in when they’re young. Because the players we see on the biggest stage were not only created by tactics or coaching information. They were created by environments that taught them what to value, how to relate to the ball, and how to play when there was something to lose.

David Garcia

169,899 views • 22 days ago

Jordan Spieth and Sungjae Im shot a best-ball 57 on Friday. Spieth carded a 9-under 62 and is one behind Im and Kinsei Hirata. "I was hurting my head trying to figure out what our best ball was. "it was really fun. Sungjae got off to another really good start like he did yesterday. I was just kind of hanging behind those guys until we made the turn. I love playing golf with Sungjae, and I was hoping that we'd -- as we got to 7, I was like, all right, now I hope we don't play together because I'm up two or three on him, whatever, two on him. But you're feeding off each other, right? There's a lot of good golf going on. Chris ended up closing out really well too. "He hit one of the most beautiful -- that was one of the prettiest hole-in-ones I've ever seen. Prettier than any one I ever made. It's 222, and the wind is off the left to the left pin. There's only a few people that would land that left of it on purpose. He might be one of them."

Jordan Spieth and Sungjae Im shot a best-ball 57 on Friday. Spieth carded a 9-under 62 and is one behind Im and Kinsei Hirata. "I was hurting my head trying to figure out what our best ball was. "it was really fun. Sungjae got off to another really good start like he did yesterday. I was just kind of hanging behind those guys until we made the turn. I love playing golf with Sungjae, and I was hoping that we'd -- as we got to 7, I was like, all right, now I hope we don't play together because I'm up two or three on him, whatever, two on him. But you're feeding off each other, right? There's a lot of good golf going on. Chris ended up closing out really well too. "He hit one of the most beautiful -- that was one of the prettiest hole-in-ones I've ever seen. Prettier than any one I ever made. It's 222, and the wind is off the left to the left pin. There's only a few people that would land that left of it on purpose. He might be one of them."

Cameron Jourdan

349,782 views • 2 months ago