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Robotic traffic cones! 🚧 In China, emergency response teams are testing robotic traffic cones that can secure accident sites quickly. Instead of sending responders onto active roadways to place cones by hand, these robots deploy directly from the emergency vehicle. Once released, they drive themselves into position, forming an...

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Lukas Ziegler

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57,959 views • 5 days ago •via X (Twitter)

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AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
0:10

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

54,776 views • 7 months ago

Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:16

Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,997 views • 8 months ago

When robots take the night shift shopping spree! 🛍️ Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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When robots take the night shift shopping spree! 🛍️ Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

64,840 views • 5 months ago

Robots that act like slime! 🫟 Cornell University engineers developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts without centralized control. It consists of dozens of small robots with limited individual mobility that exhibit coordinated motion when entangled. The system resembles soft matter, continuously deforming and reorganizing as it moves, driven by mechanical intelligence. Each robotic module measures 200mm long and 20mm wide, containing a small motor that oscillates between "I" and "U" shapes. These oscillations generate forces against the ground, allowing modules to inch forward and jostle together. On their own, modules move slowly and inefficiently. When they entangle into chains, they self-organize into shifting configurations that prove resilient in challenging environments. On incline surfaces, chains moved more reliably than individuals. In obstacle fields, the collective behaved like a flowing material, connections formed to maintain cohesion, then broke apart to prevent jamming. The system stays functional even when modules fail. Isolated modules emit an audible distress signal, prompting nearby modules to slow down so the straggler can reconnect. No centralized sensing or control, each module infers when it has lost contact by how much it's being jostled. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:15

Robots that act like slime! 🫟 Cornell University engineers developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts without centralized control. It consists of dozens of small robots with limited individual mobility that exhibit coordinated motion when entangled. The system resembles soft matter, continuously deforming and reorganizing as it moves, driven by mechanical intelligence. Each robotic module measures 200mm long and 20mm wide, containing a small motor that oscillates between "I" and "U" shapes. These oscillations generate forces against the ground, allowing modules to inch forward and jostle together. On their own, modules move slowly and inefficiently. When they entangle into chains, they self-organize into shifting configurations that prove resilient in challenging environments. On incline surfaces, chains moved more reliably than individuals. In obstacle fields, the collective behaved like a flowing material, connections formed to maintain cohesion, then broke apart to prevent jamming. The system stays functional even when modules fail. Isolated modules emit an audible distress signal, prompting nearby modules to slow down so the straggler can reconnect. No centralized sensing or control, each module infers when it has lost contact by how much it's being jostled. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,026 views • 2 months ago

A robot mower on steroids! 💉 This mowing robot can handle any bush. Literally. It's well-suited for work on PV farms, which are usually in remote areas and typically don't have permanent staff. I don't even need to mention the origin country. Chinese are cooking. This type of use case makes a lot of sense for robots. Someone mentioned that it's AI generated so, here's the OEM page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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A robot mower on steroids! 💉 This mowing robot can handle any bush. Literally. It's well-suited for work on PV farms, which are usually in remote areas and typically don't have permanent staff. I don't even need to mention the origin country. Chinese are cooking. This type of use case makes a lot of sense for robots. Someone mentioned that it's AI generated so, here's the OEM page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

48,383 views • 1 month ago

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:13

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

301,268 views • 7 months ago

Food automation made accessible! 🥔 During the Automate Show, Schmalz presented their configurable gripper that is a great choice for food automation. The original is FDA-approved, food-grade, handles raw meat, completely washable. Perfect for any food application. But the price tag is too expensive for a lot of applications. The new aluminum gripper is configurable and cost-effective. Not for meat, but great for produce picking and bin picking applications. Same modular approach, lower cost barrier. Opens up food automation to operations that couldn't justify the premium version. Working with ABB Robotics delta robots, the system handles the speed and precision food processors need, plus the flexibility to swap grippers for different applications. Be prepared to be flooded with Automate content! 🤠🇺🇸 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:19

Food automation made accessible! 🥔 During the Automate Show, Schmalz presented their configurable gripper that is a great choice for food automation. The original is FDA-approved, food-grade, handles raw meat, completely washable. Perfect for any food application. But the price tag is too expensive for a lot of applications. The new aluminum gripper is configurable and cost-effective. Not for meat, but great for produce picking and bin picking applications. Same modular approach, lower cost barrier. Opens up food automation to operations that couldn't justify the premium version. Working with ABB Robotics delta robots, the system handles the speed and precision food processors need, plus the flexibility to swap grippers for different applications. Be prepared to be flooded with Automate content! 🤠🇺🇸 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

52,586 views • 1 month ago

Digital twins make deployments! 🔄 Digital twins are more than just simulation, they let you test and fix everything before touching real hardware. The biggest win is catching problems early. You can test the complete system virtually, including all the control logic and data flows. Finding a bug in simulation takes hours. Finding it on-site during installation takes days and costs serious money. The second benefit is predictable deployment. Instead of discovering surprises when the robots arrive, you've already worked through the issues in the virtual model. The third advantage is automation. The operator interface gets generated automatically from the digital model. The old way was: build the system, write all the code, install the hardware, then spend weeks debugging on-site. Cool example here! ;-) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:18

Digital twins make deployments! 🔄 Digital twins are more than just simulation, they let you test and fix everything before touching real hardware. The biggest win is catching problems early. You can test the complete system virtually, including all the control logic and data flows. Finding a bug in simulation takes hours. Finding it on-site during installation takes days and costs serious money. The second benefit is predictable deployment. Instead of discovering surprises when the robots arrive, you've already worked through the issues in the virtual model. The third advantage is automation. The operator interface gets generated automatically from the digital model. The old way was: build the system, write all the code, install the hardware, then spend weeks debugging on-site. Cool example here! ;-) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

27,709 views • 5 months ago

Here is the guy and the two ladies stopping traffic in the middle of the street. You can hear him yelling at the person in the white SUV. You can see the border patrol agents parked across the street in front of the place where they were going to arrest the criminal illegal alien and coming out of their cars. You can then see the two women go right towards the agent who was by his car and stand in front of him obstructing an active operation. It can't be seen in this video but we know from other videos that the guy went across the street to the area where the agents were. The two women and the guy all inserted themselves in an active operation. This is dangerous for officers and for the public. These officers have only a few minutes to get in there, execute the warrant, arrest the illegal alien (who may be armed since he is a criminal) and pull him out into their car. These people are going after these officers with loud whistles, blocking traffic, confronting them. The people out there applauding this behavior, saying that it is citizens' right to do that, or instigating it are putting civilians in danger.
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Here is the guy and the two ladies stopping traffic in the middle of the street. You can hear him yelling at the person in the white SUV. You can see the border patrol agents parked across the street in front of the place where they were going to arrest the criminal illegal alien and coming out of their cars. You can then see the two women go right towards the agent who was by his car and stand in front of him obstructing an active operation. It can't be seen in this video but we know from other videos that the guy went across the street to the area where the agents were. The two women and the guy all inserted themselves in an active operation. This is dangerous for officers and for the public. These officers have only a few minutes to get in there, execute the warrant, arrest the illegal alien (who may be armed since he is a criminal) and pull him out into their car. These people are going after these officers with loud whistles, blocking traffic, confronting them. The people out there applauding this behavior, saying that it is citizens' right to do that, or instigating it are putting civilians in danger.

Dr. Maria Peiro 🇺🇸 🐊

158,356 views • 6 months ago

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:18

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

567,473 views • 8 months ago

Leftwing agitators at the UTK march today - These people are the real divisive ones. They are anti British and never can be British. Even the British ones. They have been brainwashed by foreign entities to divide and spread hate in our country. If any trouble kicks off today it will be from them. But the media will blame the “far right”. Not one of these people will ever have to courage to help out in Palestine. Because they know they will be imprisoned or even killed for their views on homosexuality and trans ideology. So they do it from the safety of democratic western nations. They are the enemy of western society and spread nothing but hate and racism.
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Leftwing agitators at the UTK march today - These people are the real divisive ones. They are anti British and never can be British. Even the British ones. They have been brainwashed by foreign entities to divide and spread hate in our country. If any trouble kicks off today it will be from them. But the media will blame the “far right”. Not one of these people will ever have to courage to help out in Palestine. Because they know they will be imprisoned or even killed for their views on homosexuality and trans ideology. So they do it from the safety of democratic western nations. They are the enemy of western society and spread nothing but hate and racism.

Around Liverpool

13,039 views • 2 months ago

Genesis AI just unveiled Eno. It's humanoid robot that challenges everything the industry assumed about what robots should look like. Forbes just called it 'the iPhone moment for humanoid robots'. No head. No face. No exposed motors or cables. 22 degrees of freedom per hand with different finger lengths (like actual human hands). Back-drivable for safety. Onboard cameras and tactile sensors. In demos: bundling wires with tape (genuinely hard, tape is sticky and unpredictable), performing lab automation with millimeter precision on unmodified equipment. Optional chest screen shows the robot's reasoning before it acts, a visual window into its mind to build trust. Powered by Genesis AI GENE foundation model. Payload 3-5kg per arm, 4-6 hours battery. Industrial deployments late 2026, homes much later. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:15

Genesis AI just unveiled Eno. It's humanoid robot that challenges everything the industry assumed about what robots should look like. Forbes just called it 'the iPhone moment for humanoid robots'. No head. No face. No exposed motors or cables. 22 degrees of freedom per hand with different finger lengths (like actual human hands). Back-drivable for safety. Onboard cameras and tactile sensors. In demos: bundling wires with tape (genuinely hard, tape is sticky and unpredictable), performing lab automation with millimeter precision on unmodified equipment. Optional chest screen shows the robot's reasoning before it acts, a visual window into its mind to build trust. Powered by Genesis AI GENE foundation model. Payload 3-5kg per arm, 4-6 hours battery. Industrial deployments late 2026, homes much later. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

29,127 views • 1 month ago

EMERGENCY FUNDRAISER Today, Gimli Division’s FPV position in Kostiantynivka direction was destroyed by an enemy strike. By a miracle, every member of the team escaped the basement in time. They are all alive. ❤️ But they lost nearly everything they need to operate, including their FPV drone control station - the heart of their operations. Without it, they cannot effectively carry out their missions in one of the hottest sectors of the front. 🎯 Goal: 200,000 UAH (~$4,500 USD) Every donation and every repost helps put these defenders back in the fight. PayPal: gimlidivision9@gmail.com Equipment can be replaced. Lives cannot. Thank you for standing with Gimli Division and Ukraine. 🇺🇦
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EMERGENCY FUNDRAISER Today, Gimli Division’s FPV position in Kostiantynivka direction was destroyed by an enemy strike. By a miracle, every member of the team escaped the basement in time. They are all alive. ❤️ But they lost nearly everything they need to operate, including their FPV drone control station - the heart of their operations. Without it, they cannot effectively carry out their missions in one of the hottest sectors of the front. 🎯 Goal: 200,000 UAH (~$4,500 USD) Every donation and every repost helps put these defenders back in the fight. PayPal: [email protected] Equipment can be replaced. Lives cannot. Thank you for standing with Gimli Division and Ukraine. 🇺🇦

Таня Woz 🌻 4.0

25,432 views • 1 month ago

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.
0:10

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

Miyu Horiuchi

90,718 views • 5 months ago

Finally visited Babylon, Financial District, on my third attempt. It was full the first two times. The place is huge and designed really well. Kudos to the owners for building such a landmark place. I hope they start the brewery soon once they get the license. Coming back to the food, I tried the Tandoori Platter and the Telangana Mutton Curry with Bagara Rice. Both were very decent. That said, the traffic and valet management are really bad. This place has blocked the entire road, and I had to wait 25 minutes for the valet. This wasn't a one-time issue. My wife had a similar experience earlier and had to wait more than 30 minutes. The biggest problem is that there doesn't seem to be a proper parking or traffic plan to begin with. It feels like everything was arranged after opening instead of being planned from the beginning for such a large restaurant.
0:19

Finally visited Babylon, Financial District, on my third attempt. It was full the first two times. The place is huge and designed really well. Kudos to the owners for building such a landmark place. I hope they start the brewery soon once they get the license. Coming back to the food, I tried the Tandoori Platter and the Telangana Mutton Curry with Bagara Rice. Both were very decent. That said, the traffic and valet management are really bad. This place has blocked the entire road, and I had to wait 25 minutes for the valet. This wasn't a one-time issue. My wife had a similar experience earlier and had to wait more than 30 minutes. The biggest problem is that there doesn't seem to be a proper parking or traffic plan to begin with. It feels like everything was arranged after opening instead of being planned from the beginning for such a large restaurant.

Satish Reddy | Hyderabad Real Estate & Infra

89,519 views • 15 days ago

This appears to be the ice-version testing of the XEV and BE 6! Every time you visit Ladakh, you’ll see Mahindra vehicles being tested there, yet they still struggle to start or perform properly in extreme temperatures. Let me tell you why: the people driving these test vehicles are often influencers or YouTubers who are more focused on making reels and videos than providing genuine feedback. They hardly care about how the vehicle responds, what needs improvement, or what issues need to be rectified. The day Mahindra starts taking real-world testing feedback seriously, it could shake up the automobile market and produce some of the best products in the segment. Until then, customers will continue to be the guinea pigs for their testing. I hope Mahindra learns from this and focuses more on refining its products before launch!! 🤦🏻‍♂️
0:19

This appears to be the ice-version testing of the XEV and BE 6! Every time you visit Ladakh, you’ll see Mahindra vehicles being tested there, yet they still struggle to start or perform properly in extreme temperatures. Let me tell you why: the people driving these test vehicles are often influencers or YouTubers who are more focused on making reels and videos than providing genuine feedback. They hardly care about how the vehicle responds, what needs improvement, or what issues need to be rectified. The day Mahindra starts taking real-world testing feedback seriously, it could shake up the automobile market and produce some of the best products in the segment. Until then, customers will continue to be the guinea pigs for their testing. I hope Mahindra learns from this and focuses more on refining its products before launch!! 🤦🏻‍♂️

Rattan Dhillon

202,917 views • 1 month ago

This is why Tesla makes the safest vehicles in the world: • All Tesla models have received five-star safety ratings from the National Highway Traffic Safety Administration. • Built from the ground up with an all-electric architecture, resulting in low rollover risk and reduced occupant injury probability. • Uses anonymous/aggregated real-world data from millions of miles driven to enhance safety via over-the-air updates and inform future vehicle designs. • Battery packs designed to isolate and vent heat away from the cabin; historically (2012–2020 U.S. data), Tesla vehicles ~10x less likely to experience fire per mile than average gas vehicles. • Before a crash occurs, Tesla uses the front cameras to observe the scenario and prepare the seat belt system to react faster and with adequate force and timing when impact occurs, reducing the amount of slack in each seat belt. • Tesla’s advanced airbags are tuned to deploy according to crash type and different-sized occupants. This includes active venting that changes the amount of pressure within the inflated cushion by releasing gas according to the expected crash severity. • When a serious collision is detected, the hazard lights will turn on to increase your visibility and doors will automatically unlock for emergency access. At the same time, your Tesla will automatically contact emergency services to get help to you as quickly as possible. • Tesla vehicle structures are designed to cushion and protect the battery in the event of an accident. Onboard systems will automatically disconnect the high-voltage battery upon impact. If a battery fire does occur, the battery pack is designed to spread heat away from the cabin to protect occupants.
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This is why Tesla makes the safest vehicles in the world: • All Tesla models have received five-star safety ratings from the National Highway Traffic Safety Administration. • Built from the ground up with an all-electric architecture, resulting in low rollover risk and reduced occupant injury probability. • Uses anonymous/aggregated real-world data from millions of miles driven to enhance safety via over-the-air updates and inform future vehicle designs. • Battery packs designed to isolate and vent heat away from the cabin; historically (2012–2020 U.S. data), Tesla vehicles ~10x less likely to experience fire per mile than average gas vehicles. • Before a crash occurs, Tesla uses the front cameras to observe the scenario and prepare the seat belt system to react faster and with adequate force and timing when impact occurs, reducing the amount of slack in each seat belt. • Tesla’s advanced airbags are tuned to deploy according to crash type and different-sized occupants. This includes active venting that changes the amount of pressure within the inflated cushion by releasing gas according to the expected crash severity. • When a serious collision is detected, the hazard lights will turn on to increase your visibility and doors will automatically unlock for emergency access. At the same time, your Tesla will automatically contact emergency services to get help to you as quickly as possible. • Tesla vehicle structures are designed to cushion and protect the battery in the event of an accident. Onboard systems will automatically disconnect the high-voltage battery upon impact. If a battery fire does occur, the battery pack is designed to spread heat away from the cabin to protect occupants.

Nic Cruz Patane

74,333 views • 7 months ago

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.
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Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

Andy Jassy

24,990 views • 9 months ago

Imagine having a ping pong robot! 🏓 Researchers and developers building physical AI: meet Reachy 2 from Pollen Robotics, an open-source, humanoid robot for real-world experimentation. It’s a bimanual mobile manipulator: each 7-DOF arm mimics human proportions and can lift up to 3 kg, giving dexterity for object handling. It can be controlled with Python and ROS2 Humble, or go straight into VR teleoperation, use a headset to move Reachy’s arms, hands, and head, and see through its cameras as if you’re in the robot’s own body. Want it to move around? A mobile base with three omnidirectional wheels, rich sensors, and LiDAR lets Reachy 2 navigate and explore its surroundings smoothly. 🗺️ Under the hood, it’s powered by a CPU system that’s ready for machine learning, perfect for loading AI frameworks and testing new models from Hugging Face directly on the robot. Keep making robots more, and more accessible Pollen team! ... and keep making more open source models to make robots more mainstream clem 🤗!
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Imagine having a ping pong robot! 🏓 Researchers and developers building physical AI: meet Reachy 2 from Pollen Robotics, an open-source, humanoid robot for real-world experimentation. It’s a bimanual mobile manipulator: each 7-DOF arm mimics human proportions and can lift up to 3 kg, giving dexterity for object handling. It can be controlled with Python and ROS2 Humble, or go straight into VR teleoperation, use a headset to move Reachy’s arms, hands, and head, and see through its cameras as if you’re in the robot’s own body. Want it to move around? A mobile base with three omnidirectional wheels, rich sensors, and LiDAR lets Reachy 2 navigate and explore its surroundings smoothly. 🗺️ Under the hood, it’s powered by a CPU system that’s ready for machine learning, perfect for loading AI frameworks and testing new models from Hugging Face directly on the robot. Keep making robots more, and more accessible Pollen team! ... and keep making more open source models to make robots more mainstream clem 🤗!

Lukas Ziegler

37,221 views • 11 months ago