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Explore how driving simulator setups transform the landscape of autonomous vehicles. They detect situational awareness, enabling seamless human-robot interactions. #drivingsimulator #humanrobots #fridaysforfuture #technology #techtrends #robotics #futuretechnology #ONPASSIVE #TheFutureOfInternet

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ONPASSIVE

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14,397 次观看 • 2 年前 •via X (Twitter)

科学技术#drivingsimulator#humanrobots#fridaysforfuture#technology#techtrends#robotics#futuretechnology#ONPASSIVE
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9 条评论

Dharmendra Malviaa 的头像
Dharmendra Malviaa2 年前

#ONPASSIVE in the take a seat and fasten your seatbelt as we accelerate towards an unforgettable advantages #drivingsimulator #humanrobots #fridaysforfuture #technology #techtrends #robotics #futuretechnology #ONPASSIVE #TheFutureOfInternet

Mr. Ranjan Maity 的头像
Mr. Ranjan Maity2 年前

Technology is the best solutions of future life. #ONPASSIVE #TheFutureOfInternet #drivingsimulator #humanrobots #robotics #technoligy #techtrands #futuretechnology

ONPASSIVE 的头像
ONPASSIVE2 年前

Thank you for your response! Have a wonderful day.

B.S REDDY 的头像
B.S REDDY2 年前

Onpossive bright future

rick segal 的头像
rick segal2 年前

ONPASSIVE will change the face of the internet

Dheeraj $BEYOND 的头像
Dheeraj $BEYOND2 年前

#ONPASSIVE #TheFutureOfInternet

RASHEDUL ISLAM 的头像
RASHEDUL ISLAM2 年前

#ONPASSIVE #TheFutureOfInternet

SHIV VARDAN 的头像
SHIV VARDAN2 年前

#drivingsimulator #humanrobots #fridaysforfuture #technology #techtrends #robotics #futuretechnology #ONPASSIVE #TheFutureOfInternet

A I power 的头像
A I power2 年前

Very nice 👍

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Autonomous dodging off-roads without any human presence. This is a demonstration of pushing the limits of what is possible in off-road #autonomousdriving. In this demo, we performed autonomous dodging without any human presence in our autonomous vehicle, that too off-roads. In this mode, collision avoidance against aggressive-stochastic-adversarial traffic is the sole responsibility of #AutonomousVehicles. Our autonomous vehicle, Deep Xplorer, was tasked with navigating an off-road trail, avoiding both the static and dynamic obstacles. Furthermore, team members on bikes introduced random cross-traffic interactions by cutting its path at random, creating highly adversarial and stochastic traffic scenarios. To increase the stakes even further, I personally drove our other autonomous vehicle (Xplorer), cutting the path of Deep Xplorer at random --leaving the task of negotiation, motion planning, and decision making, to ensure collision avoidance and safety of the vehicles and the environment as a sole responsibility of our autonomous driving stack in Deep Xplorer. This is the first time in the history of Swaayatt Robots that we performed autonomous dodging without human presence in our autonomous vehicle, pushing the limits of what is possible in autonomous driving landscape. #reinforcementlearning #deeplearning
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Autonomous dodging off-roads without any human presence. This is a demonstration of pushing the limits of what is possible in off-road #autonomousdriving. In this demo, we performed autonomous dodging without any human presence in our autonomous vehicle, that too off-roads. In this mode, collision avoidance against aggressive-stochastic-adversarial traffic is the sole responsibility of #AutonomousVehicles. Our autonomous vehicle, Deep Xplorer, was tasked with navigating an off-road trail, avoiding both the static and dynamic obstacles. Furthermore, team members on bikes introduced random cross-traffic interactions by cutting its path at random, creating highly adversarial and stochastic traffic scenarios. To increase the stakes even further, I personally drove our other autonomous vehicle (Xplorer), cutting the path of Deep Xplorer at random --leaving the task of negotiation, motion planning, and decision making, to ensure collision avoidance and safety of the vehicles and the environment as a sole responsibility of our autonomous driving stack in Deep Xplorer. This is the first time in the history of Swaayatt Robots that we performed autonomous dodging without human presence in our autonomous vehicle, pushing the limits of what is possible in autonomous driving landscape. #reinforcementlearning #deeplearning

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🇺🇸 Autonomous vehicles are proving they can navigate roads. Now they have to prove they can navigate the unexpected. After a Waymo vehicle entered an active police scene, federal officials are warning that interactions between driverless cars and first responders remain a major safety challenge. The future of self-driving technology won't be decided by routine commutes. It will be decided by the rare moments when everything goes wrong. Source: AZFamily YT / Writer: Val

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🇺🇸 AMERICA’S FIRST SELF-DRIVING BIG RIGS JUST HIT THE GAS Kodiak Robotics is now unleashing fully autonomous 18-wheelers on Texas highways - no human, no wheel-gripping, no problem (allegedly). With 12 cameras, 4 lidars, and 6 radars, these trucks see everything...except your fear as they fly past at 70 mph. They claim any rig can go full robot in under 6 months. Meanwhile, 3.5 million truckers just felt a chill. So: how chill are you cruising next to 40 tons of AI on wheels? Source: AIconversation

Mario Nawfal

131,860 次观看 • 1 年前

1. This is Elon Musk presenting what the future of cars, referred to as Cybercabs, will look like in less than two years. He presented this at the “We, Robot” event, where he introduced autonomous vehicles and robots. The unfortunate reality is that, on the same day when the world’s richest man, known for his work in technology, was presenting this, Zimbabwe’s ambassador to Europe and the Americas, and President Emmerson Mnangagwa’s advisor, made the most embarrassing, outrageous, and foolish remarks about Elon Musk and his companies. See Twitter 2 below. He called this anti-Christ and the work of the devil. Africa is cursed for sure with such idiots in power, how can it develop? These vehicles, like Tesla’s Model Y and Cybercab, aim to reduce travel costs, maximise vehicle usage, and enhance convenience. Musk compared autonomous transport to past innovations like elevators and said that autonomous cars are becoming safer and more efficient than human driving. Musk envisions cities with fewer parking lots, replaced by parks, thanks to reduced car ownership needs. Autonomous vehicles are expected to roll out fully by 2026. Robovans, designed for high-density travel and goods transport, were also introduced. The event showcased these technologies, promising an exciting future of autonomy and robotics.
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1. This is Elon Musk presenting what the future of cars, referred to as Cybercabs, will look like in less than two years. He presented this at the “We, Robot” event, where he introduced autonomous vehicles and robots. The unfortunate reality is that, on the same day when the world’s richest man, known for his work in technology, was presenting this, Zimbabwe’s ambassador to Europe and the Americas, and President Emmerson Mnangagwa’s advisor, made the most embarrassing, outrageous, and foolish remarks about Elon Musk and his companies. See Twitter 2 below. He called this anti-Christ and the work of the devil. Africa is cursed for sure with such idiots in power, how can it develop? These vehicles, like Tesla’s Model Y and Cybercab, aim to reduce travel costs, maximise vehicle usage, and enhance convenience. Musk compared autonomous transport to past innovations like elevators and said that autonomous cars are becoming safer and more efficient than human driving. Musk envisions cities with fewer parking lots, replaced by parks, thanks to reduced car ownership needs. Autonomous vehicles are expected to roll out fully by 2026. Robovans, designed for high-density travel and goods transport, were also introduced. The event showcased these technologies, promising an exciting future of autonomy and robotics.

Hopewell Chin’ono

46,728 次观看 • 1 年前

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.
1:06

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

Owen Gregorian

179,005 次观看 • 9 个月前

A few self-driving taxis in San Francisco just demonstrated the real problem with autonomy. They were too rational. For a brief moment, several robotaxis aligned at an intersection and created a perfectly polite deadlock. No aggression. No improvisation. No human-style “you go, I’ll go.” Just algorithms waiting for clarity. And that is exactly why this moment matters. What interests me is that this was not a failure of sensing. The vehicles could see. The problem was social judgment. Because cities are not just physical systems. They are negotiation systems. They run on: → tiny signals → hesitation → assertiveness → eye contact → imperfect timing That is where autonomy gets much harder than people think. We are not only teaching machines how to detect objects and follow lanes. We are asking them to operate inside messy human environments where the right move is not always the most logical one. To me, that is the deeper lesson. The next frontier in self-driving is not just better perception. It is better judgment under uncertainty. And that is a much more difficult problem. What do you think matters more for autonomous vehicles now: seeing the road better, or learning how to navigate human ambiguity? #AI #AutonomousVehicles #SelfDrivingCars #FutureOfMobility #Innovation #Technology #SmartCities #MachineLearning #FutureOfWork
0:48

A few self-driving taxis in San Francisco just demonstrated the real problem with autonomy. They were too rational. For a brief moment, several robotaxis aligned at an intersection and created a perfectly polite deadlock. No aggression. No improvisation. No human-style “you go, I’ll go.” Just algorithms waiting for clarity. And that is exactly why this moment matters. What interests me is that this was not a failure of sensing. The vehicles could see. The problem was social judgment. Because cities are not just physical systems. They are negotiation systems. They run on: → tiny signals → hesitation → assertiveness → eye contact → imperfect timing That is where autonomy gets much harder than people think. We are not only teaching machines how to detect objects and follow lanes. We are asking them to operate inside messy human environments where the right move is not always the most logical one. To me, that is the deeper lesson. The next frontier in self-driving is not just better perception. It is better judgment under uncertainty. And that is a much more difficult problem. What do you think matters more for autonomous vehicles now: seeing the road better, or learning how to navigate human ambiguity? #AI #AutonomousVehicles #SelfDrivingCars #FutureOfMobility #Innovation #Technology #SmartCities #MachineLearning #FutureOfWork

Pascal Bornet

81,384 次观看 • 3 个月前

China’s Robot-Served Kiosks Showcase Next Generation of Automated Technology! In bustling urban centers across China, the future of everyday service is already here. Among the most striking examples are robot-served kiosks where autonomous machines prepare and serve drinks and snacks, drawing attention from locals and international visitors alike. Travelers exploring China’s cities have encountered these cutting-edge kiosks in public spaces and transit hubs. The machines, operating with little to no human assistance, handle everything from taking orders to preparing and dispensing beverages, showcasing the rapid pace of automation in everyday life. The increasing presence of robotic kiosks reflects China’s broader push into smart technology and artificial intelligence. These automated stations use advanced robotics, computer vision, and AI to deliver efficient, consistent service. Visitors often express surprise at the speed and sophistication of the machines, underscoring how far automated retail has come from simple vending devices to fully interactive service points. These robot-served kiosks offer a tangible glimpse of how robotics could reshape the future of service industries, merging utility with novelty and giving a preview of broader automation trends shaping economies around the world.
0:46

China’s Robot-Served Kiosks Showcase Next Generation of Automated Technology! In bustling urban centers across China, the future of everyday service is already here. Among the most striking examples are robot-served kiosks where autonomous machines prepare and serve drinks and snacks, drawing attention from locals and international visitors alike. Travelers exploring China’s cities have encountered these cutting-edge kiosks in public spaces and transit hubs. The machines, operating with little to no human assistance, handle everything from taking orders to preparing and dispensing beverages, showcasing the rapid pace of automation in everyday life. The increasing presence of robotic kiosks reflects China’s broader push into smart technology and artificial intelligence. These automated stations use advanced robotics, computer vision, and AI to deliver efficient, consistent service. Visitors often express surprise at the speed and sophistication of the machines, underscoring how far automated retail has come from simple vending devices to fully interactive service points. These robot-served kiosks offer a tangible glimpse of how robotics could reshape the future of service industries, merging utility with novelty and giving a preview of broader automation trends shaping economies around the world.

The AI Robot Guy on X

35,740 次观看 • 6 个月前

🚨 WARNING: THIS IS NOT NORMAL Rocket Lab merged with SolAero in 2022. Over the following years, $RKLB pumped 2704%. $10,000 → $271,000 Now SpaceX will merge with Tesla. But this is NOT just a space merger. SpaceX is already becoming an AI company after acquiring xAI. → SpaceX brings xAI, Grok, Starlink, satellites, and global data infrastructure → Tesla brings autonomous driving, robotics, energy, and public-market liquidity → Together, they could create one of the most powerful AI ecosystems in the world Rocket Lab combined rockets with satellite technology. $SPCX and $TSLA could combine space, AI, robotics, autonomous vehicles, energy, and global connectivity inside one ecosystem. This could become one of the BIGGEST events in modern stock market history. And the setup is much larger than Rocket Lab and SolAero. Most people will ignore it until the move has already happened. But not my followers. Follow and turn notifications on. I’ll post the opportunity BEFORE everyone starts talking about it.
0:26

🚨 WARNING: THIS IS NOT NORMAL Rocket Lab merged with SolAero in 2022. Over the following years, $RKLB pumped 2704%. $10,000 → $271,000 Now SpaceX will merge with Tesla. But this is NOT just a space merger. SpaceX is already becoming an AI company after acquiring xAI. → SpaceX brings xAI, Grok, Starlink, satellites, and global data infrastructure → Tesla brings autonomous driving, robotics, energy, and public-market liquidity → Together, they could create one of the most powerful AI ecosystems in the world Rocket Lab combined rockets with satellite technology. $SPCX and $TSLA could combine space, AI, robotics, autonomous vehicles, energy, and global connectivity inside one ecosystem. This could become one of the BIGGEST events in modern stock market history. And the setup is much larger than Rocket Lab and SolAero. Most people will ignore it until the move has already happened. But not my followers. Follow and turn notifications on. I’ll post the opportunity BEFORE everyone starts talking about it.

Wimar.X

39,246 次观看 • 7 天前

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:
1:33

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:

Sawyer Merritt

83,625 次观看 • 7 个月前

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.
1:08

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Dustin

66,374 次观看 • 5 个月前

Over 30 years ago, when we began paneer manufacturing, there was very little in terms of automation. It was a largely manual process, driven by experience, attention and consistency on the shop floor. Today, that landscape has changed significantly. We, Milky Mist Dairy, are currently running trials to automate material movement within our facility using solutions from Goat Robotics, a recipient of the Make in India Excellence Award 2025. Their autonomous mobile robots are designed to integrate seamlessly into existing operations, enabling end-to-end material movement with greater efficiency and safety. What stands out is how far manufacturing technology has evolved adapting to real-world environments without disrupting established processes. This shift is helping us reduce manual errors, improve throughput and bring greater consistency across operations ensuring that what reaches our end customers meets the same uncompromising standards every time. For us, adopting such technology is not about change for the sake of it. It is about strengthening what we have always stood for - quality, reliability and consistency.
1:36

Over 30 years ago, when we began paneer manufacturing, there was very little in terms of automation. It was a largely manual process, driven by experience, attention and consistency on the shop floor. Today, that landscape has changed significantly. We, Milky Mist Dairy, are currently running trials to automate material movement within our facility using solutions from Goat Robotics, a recipient of the Make in India Excellence Award 2025. Their autonomous mobile robots are designed to integrate seamlessly into existing operations, enabling end-to-end material movement with greater efficiency and safety. What stands out is how far manufacturing technology has evolved adapting to real-world environments without disrupting established processes. This shift is helping us reduce manual errors, improve throughput and bring greater consistency across operations ensuring that what reaches our end customers meets the same uncompromising standards every time. For us, adopting such technology is not about change for the sake of it. It is about strengthening what we have always stood for - quality, reliability and consistency.

Sathish Kumar T

43,032 次观看 • 3 个月前