Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

.One Robot builds world model-based simulations that are realistic to see and realistic to interact with, so robotics teams can train and evaluate VLAs without being bottlenecked by robot time. Congrats on the launch, Hemanth Sarabu and Elton Bear!

ycombinator's profile picture

Y Combinator

1,641,349 subscribers

25,940 Aufrufe • vor 7 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Physics simulation gives robots a place to learn before they enter the physical world. 🤖 Developers can model complex interactions, train and evaluate policies, and validate robot behavior in controlled virtual environments before deployment. Explore physics simulation for robotics 🔗
0:20

Physics simulation gives robots a place to learn before they enter the physical world. 🤖 Developers can model complex interactions, train and evaluate policies, and validate robot behavior in controlled virtual environments before deployment. Explore physics simulation for robotics 🔗

NVIDIA Robotics

26,590 Aufrufe • vor 2 Tagen

So cool! Can you even tell this is a robot horse? 🤖🐎 DEEP Robotics has built a robot horse, seemingly a special Year of the Horse limited edition based on their M20 Pro. The bionic details on this machine are incredible, especially those lifelike hooves. It looks like a living creature rather than just another quadruped robot. It is amazing to see a quad robot move so smoothly while having such a realistic animal appearance. Source: DEEP Robotics #Robot #Quadruped #Robotics #AI #EmbodiedAI #PhysicalAI #DEEPRobotics #Bionics #TechDesign
0:51

So cool! Can you even tell this is a robot horse? 🤖🐎 DEEP Robotics has built a robot horse, seemingly a special Year of the Horse limited edition based on their M20 Pro. The bionic details on this machine are incredible, especially those lifelike hooves. It looks like a living creature rather than just another quadruped robot. It is amazing to see a quad robot move so smoothly while having such a realistic animal appearance. Source: DEEP Robotics #Robot #Quadruped #Robotics #AI #EmbodiedAI #PhysicalAI #DEEPRobotics #Bionics #TechDesign

RoboHub🤖

94,254 Aufrufe • vor 6 Monaten

Train robots. Earn rewards. Base is pioneering the Train-to-Earn model for robotics. With Axis Robotics, anyone can help train robot simulations from a laptop and be rewarded for contributing data. The future of robotics won’t be trained by a handful of companies. It’ll be trained by everyone. PL 漂亮 (✱,✱) showcased this vision at SuperAI, the largest AI event in Asia 👇
1:00

Train robots. Earn rewards. Base is pioneering the Train-to-Earn model for robotics. With Axis Robotics, anyone can help train robot simulations from a laptop and be rewarded for contributing data. The future of robotics won’t be trained by a handful of companies. It’ll be trained by everyone. PL 漂亮 (✱,✱) showcased this vision at SuperAI, the largest AI event in Asia 👇

Base APAC

18,980 Aufrufe • vor 3 Monaten

Unitree Robotics modified its G1 humanoid robot by replacing its feet with wheels, roller skates, and ice skates. This allows the robot to move faster and more smoothly on different surfaces. The upgrade shows how one robot can adapt to multiple types of movement with simple changes.
0:27

Unitree Robotics modified its G1 humanoid robot by replacing its feet with wheels, roller skates, and ice skates. This allows the robot to move faster and more smoothly on different surfaces. The upgrade shows how one robot can adapt to multiple types of movement with simple changes.

Space and Technology

24,553 Aufrufe • vor 3 Monaten

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:
0:29

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,864 Aufrufe • vor 7 Monaten

Jeff Bezos tries the Tactile Telerobot. The Tactile Telerobot is a haptic telerobotic system capable of transmitting realistic touch feedback to an operator located anywhere in the world. Developed through a joint collaboration between Shadow Robot Company, HaptX, and SynTouch, the project’s initial research and development was funded by All Nippon Airways. -- Robotics teams are challenged to turn human-like dexterity from theory into real-world systems. While dexterous manipulation promises major impact across industries, a gap remains between capability and deployment. Shadow Robot helps close this gap through a dexterity-first, structured engagement model that transforms ideas into prototypes and scalable solutions. The "Trusted Hands: Engineering Collaboration with Shadow Robot" whitepaper highlights how collaboration and repeatable frameworks enable organizations to overcome barriers and advance dexterous robotics in new domains. Get it here: #robotics #robots #engineering #technology
0:43

Jeff Bezos tries the Tactile Telerobot. The Tactile Telerobot is a haptic telerobotic system capable of transmitting realistic touch feedback to an operator located anywhere in the world. Developed through a joint collaboration between Shadow Robot Company, HaptX, and SynTouch, the project’s initial research and development was funded by All Nippon Airways. -- Robotics teams are challenged to turn human-like dexterity from theory into real-world systems. While dexterous manipulation promises major impact across industries, a gap remains between capability and deployment. Shadow Robot helps close this gap through a dexterity-first, structured engagement model that transforms ideas into prototypes and scalable solutions. The "Trusted Hands: Engineering Collaboration with Shadow Robot" whitepaper highlights how collaboration and repeatable frameworks enable organizations to overcome barriers and advance dexterous robotics in new domains. Get it here: #robotics #robots #engineering #technology

Wevolver

31,354 Aufrufe • vor 8 Monaten

Can robot foundation models scale? Xiaomi-Robotics-1 explores this question with over 100,000 hours of real-world manipulation data. Pre-trained on large-scale real-world trajectories and post-trained with cross-embodiment robot data, Xiaomi-Robotics-1 demonstrates consistent scaling across data and model size, strong generalization in unseen environments, and efficient adaptation to new tasks. 🔗 #Robotics #EmbodiedAI #FoundationModels #RobotLearning #XiaomiAI #XiaomiRobotics
0:29

Can robot foundation models scale? Xiaomi-Robotics-1 explores this question with over 100,000 hours of real-world manipulation data. Pre-trained on large-scale real-world trajectories and post-trained with cross-embodiment robot data, Xiaomi-Robotics-1 demonstrates consistent scaling across data and model size, strong generalization in unseen environments, and efficient adaptation to new tasks. 🔗 #Robotics #EmbodiedAI #FoundationModels #RobotLearning #XiaomiAI #XiaomiRobotics

Xiaomi Tech

23,600 Aufrufe • vor 2 Monaten

Meet Sprout, a small humanoid robot developed by Fauna Robotics for research, education, and social interaction. It can walk, climb stairs, and safely interact with people with its lightweight design and soft exterior. Fauna Robotics was acquired by Amazon, and Sprout continues to serve as a platform for robotics research and development.
0:25

Meet Sprout, a small humanoid robot developed by Fauna Robotics for research, education, and social interaction. It can walk, climb stairs, and safely interact with people with its lightweight design and soft exterior. Fauna Robotics was acquired by Amazon, and Sprout continues to serve as a platform for robotics research and development.

Space and Technology

22,346 Aufrufe • vor 3 Monaten

PrimeBot, a Chinese robotics company, has unveiled the world's first transformable robot, T1. It can switch on its own between a two-wheeled humanoid mode for indoor movement and a four-legged mode for walking on grass or climbing stairs. The robot can also interact by voice, understand its surroundings, and remember routines and spaces to respond more naturally over time. PrimeBOT_Global
0:24

PrimeBot, a Chinese robotics company, has unveiled the world's first transformable robot, T1. It can switch on its own between a two-wheeled humanoid mode for indoor movement and a four-legged mode for walking on grass or climbing stairs. The robot can also interact by voice, understand its surroundings, and remember routines and spaces to respond more naturally over time. PrimeBOT_Global

Space and Technology

16,904 Aufrufe • vor 2 Monaten

An interactive world model developed by NVIDIA in collaboration with academic partners. - DreamDojo turns egocentric human video data into physical intelligence. - Human data is more scalable than robotics data but lacks action labels. - To solve this, a dedicated action model extracts latent actions by identifying physics and motion deltas between frames. Training - A massive 44k hours of video data are used for pre-training. - Post-training on small-scale robot datasets maps human physics to specific robot embodiments. - An additional distillation stage converts the model into an autoregressive, few-step diffusion model, enabling real-time, action-controllable simulation. Primary Use Cases - Live Teleoperation: Controlling a robot inside a world simulation in real-time. - Model-based Planning: Previewing and curating the best actions for improved success. - Policy Evaluation: Testing robot policies in realistic, out-of-distribution scenarios. Everything that's open-sourced: weights, code, post-training dataset, eval set, and details to reproduce.
1:14

An interactive world model developed by NVIDIA in collaboration with academic partners. - DreamDojo turns egocentric human video data into physical intelligence. - Human data is more scalable than robotics data but lacks action labels. - To solve this, a dedicated action model extracts latent actions by identifying physics and motion deltas between frames. Training - A massive 44k hours of video data are used for pre-training. - Post-training on small-scale robot datasets maps human physics to specific robot embodiments. - An additional distillation stage converts the model into an autoregressive, few-step diffusion model, enabling real-time, action-controllable simulation. Primary Use Cases - Live Teleoperation: Controlling a robot inside a world simulation in real-time. - Model-based Planning: Previewing and curating the best actions for improved success. - Policy Evaluation: Testing robot policies in realistic, out-of-distribution scenarios. Everything that's open-sourced: weights, code, post-training dataset, eval set, and details to reproduce.

The Humanoid Hub

11,575 Aufrufe • vor 7 Monaten

ASTORINO is a 6-axis robot built for education not industry -3D printed -easy to repair -programmable in AS-language designed so students can learn by breaking it without consequence most educational robots are -expensive -fragile -dumbeddown toys this one assumes students will make mistakes and builds around that reality Kawasaki Robotics
1:53

ASTORINO is a 6-axis robot built for education not industry -3D printed -easy to repair -programmable in AS-language designed so students can learn by breaking it without consequence most educational robots are -expensive -fragile -dumbeddown toys this one assumes students will make mistakes and builds around that reality Kawasaki Robotics

Saint Nomad

22,154 Aufrufe • vor 5 Monaten

.General Astronautics builds autonomous robotics for space. In microgravity, proteins crystallize without defects and semiconductors form without flaws, but astronaut time is scarce. They are enabling scale for the work that can't be done anywhere else. Congrats on the launch, Bram Schork and Shibo Zhou!
1:05

.General Astronautics builds autonomous robotics for space. In microgravity, proteins crystallize without defects and semiconductors form without flaws, but astronaut time is scarce. They are enabling scale for the work that can't be done anywhere else. Congrats on the launch, Bram Schork and Shibo Zhou!

Y Combinator

13,026 Aufrufe • vor 7 Monaten

15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:
0:41

15–30 minutes of real-world robot data. That's now enough to go from sim-to-real failure to working robot. Let’s see… You train a robot in simulation. You deploy it in the real world. It fails. The physics don't match. So you try to fine-tune it with real data, but… you never have enough real data, and the fine-tuning breaks everything the simulation taught it. SimDist fixes this with one key decision: don't transfer the policy. Transfer the world model. Keep the reward and value knowledge from simulation frozen. Only update the part that's actually wrong, how the robot predicts physics. Now the robot doesn't have to relearn the entire task in the real world. It already knows what success looks like. It just needs to correct its understanding of how the real world moves. The part that makes this work: they also trained on failures and recoveries; not just perfect demonstrations. Without that, the planner finds the gaps and exploits them. With it, the robot can tell a good future from a bad one. That's all it needs. Results on peg insertion, table leg assembly, locomotion on slippery and uneven surfaces. Tasks that require precision, force, and quick reaction. Thanks for sharing, Tyler Westenbroek ([Tyler Westenbroek]. Interactive visualization + paper: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

14,222 Aufrufe • vor 4 Monaten

YC F24's Rulebase builds AI-driven fraud detection models to prevent account takeovers and voice phishing for fintechs and banks. They also run voice phishing simulations to train employees against bad actors. Congrats on the launch, Gideon + chidi!
3:32

YC F24's Rulebase builds AI-driven fraud detection models to prevent account takeovers and voice phishing for fintechs and banks. They also run voice phishing simulations to train employees against bad actors. Congrats on the launch, Gideon + chidi!

Y Combinator

44,033 Aufrufe • vor 1 Jahr

A humanoid robot policy trained solely on synthetic data generated by a world model. Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline: ⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data. That's it. Deploy zero-shot to a real humanoid robot.
2:05

A humanoid robot policy trained solely on synthetic data generated by a world model. Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline: ⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data. That's it. Deploy zero-shot to a real humanoid robot.

The Humanoid Hub

20,968 Aufrufe • vor 1 Jahr

A good latte is part art, part science. So can a robot achieve that delicate balance? It can if it’s powered by Intel Robotics, Intel Core Ultra Series 3, and the Robotics AI Suite. Through a combination of real-time control and AI acceleration on a single chip, Ella, a robot inside an autonomous store experience, has the accuracy and deterministic control to serve up the perfect cup every time. See Ella for yourself at the Sensory AI coffee stand at the Taipei World Trade Center Entrance Hall during COMPUTEX 2026.
0:31

A good latte is part art, part science. So can a robot achieve that delicate balance? It can if it’s powered by Intel Robotics, Intel Core Ultra Series 3, and the Robotics AI Suite. Through a combination of real-time control and AI acceleration on a single chip, Ella, a robot inside an autonomous store experience, has the accuracy and deterministic control to serve up the perfect cup every time. See Ella for yourself at the Sensory AI coffee stand at the Taipei World Trade Center Entrance Hall during COMPUTEX 2026.

Intel

24,841 Aufrufe • vor 3 Monaten

A robotic system developed by US-based defence technology company Onyx Industries can travel both on land and across water. It combines the Naut mobility platform with the Sentry defence system on the Ghost Robotics V60 robot. The robot is designed for surveillance, protection, and intelligence missions.
0:29

A robotic system developed by US-based defence technology company Onyx Industries can travel both on land and across water. It combines the Naut mobility platform with the Sentry defence system on the Ghost Robotics V60 robot. The robot is designed for surveillance, protection, and intelligence missions.

Space and Technology

166,009 Aufrufe • vor 4 Monaten

X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors, so human demos map straight to the robot without retargeting. Human data collection improves throughput 5.3x compared to teleoperation, and a policy can be trained with a few hundred episodes without any robot data.
3:51

X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors, so human demos map straight to the robot without retargeting. Human data collection improves throughput 5.3x compared to teleoperation, and a policy can be trained with a few hundred episodes without any robot data.

The Humanoid Hub

277,022 Aufrufe • vor 24 Tagen