NVIDIA showcased 9 advanced humanoid robots with a focus on general purpose robot learning and simulation to transfer skills to the real world, demonstrating the rapid advancement in humanoid development and creating new opportunities and services
Questions to inspire discussion
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What did NVIDIA showcase at the conference?
—NVIDIA showcased 9 advanced humanoid robots with a focus on general purpose robot learning and simulation to transfer skills to the real world, demonstrating the rapid advancement in humanoid development and creating new opportunities and services.
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What technology did NVIDIA use for humanoid robot learning?
—NVIDIA used Isaac lab, Osmo, and the new Jetson Thor robotics chips to train the model in simulation and transfer it to the real world, enabling the robot to learn from human demonstrations and emulate human movement.
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What is the goal of showcasing 9 humanoids?
—The goal is to demonstrate the rapid advancement in humanoid development and create new opportunities and services, with a focus on general purpose robot learning and simulation to transfer skills to the real world.
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What is the importance of a good simulation model?
—A good simulation model is necessary to learn different kinds of motion, especially walking, under various conditions, and it is important to sync up the digital twin with the physical world for effective operation.
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What is the impact of NVIDIA's technology on robotics companies?
—NVIDIA's new software architectural framework will allow many companies to succeed in creating humanoid bots, leading to more companies entering the field.
Key Insights
Advancements in Robotics Technology
- 🤖 Nvidia showcased 9 humanoid Bots at the conference, partnering with 12 other Bots, indicating a significant advancement in robotics technology.
- 🧠 The new Jetson Thor robotics chips designed for Groot are providing the building blocks for the next generation of AI-powered robotics.
- 🤖 NVIDIA is dropping bombshell demos of 9 humanoids, all integrating a large language model to give instructions and speech synthesis.
- 🌐 The intersection of computer graphics, physics, and artificial intelligence in the general robotics project is a significant technological advancement.
- 🤖 The integration of Apollo with Nvidia robotics demonstrates the exciting progress in the development of humanoid technology.
- 🤖 The use of simulated environments is crucial for machine learning to refine and rehearse tasks before executing them in the real world.
- 🎮 NVIDIA's technology originally developed for gaming is now being applied to solve real-world engineering problems, showing the unexpected practical applications of gaming technology.
- 🔬 The ability to refine the behavior of humanoids through millions of iterations in a simulated environment has the potential to revolutionize the development of AI.
Collaboration and Progress in AI Research and Development
- 🧠 Combining forces and leveraging similar capabilities can lead to significant progress in developing humanoids, highlighting the importance of collaboration in AI research and development.
- 🌐 Dr. Jim Fando announced the beginning of a moonshot to solve embodied AGI in the physical world, marking the start of a new initiative to create a general purpose foundation model for humanoid robot learning.
- 🤖 NVIDIA's partnership with apptronics and agility Robotics is set to bring about groundbreaking advancements in humanoid technology.
- 🤖 NVIDIA's focus on embodied AI for AGI is a game-changer, as it's more likely to lead to AGI from an embodied form rather than just AI in a computer.
- 🧠 The AI embodiment doesn't have to be AGI, but it has to be good enough, and we're probably getting pretty close to there.
Controversy and Speculation about Robotics and AI
- 🤖 The introduction of 9 humanoids by NVIDIA has sparked controversy and speculation about the future of robotics and AI.
#HerbertOng #Cobots
Clips
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00:00 🤖 Nvidia showcased 9 humanoid robots with a focus on general purpose robot learning and simulation to transfer skills to the real world.
- Nvidia's Jensen Huang revealed information about nine humanoid bots at a conference, along with a video showcasing their capabilities.
- Nvidia has developed a general purpose Foundation model for humanoid robot learning, using Isaac lab, Osmo, and the new Jetson Thor robotics chips to train the model in simulation and transfer it to the real world, enabling the robot to learn from human demonstrations and emulate human movement.
- NVIDIA showcased demos of 9 humanoid robots, indicating a focus on not just humanoid bots but all sorts of mobility and robotics companies dealing with landscaping and farming equipment.
- NVIDIA showcased 9 humanoids in the same room using the same training sets and leveraging similar capabilities to avoid reinventing the wheel.
- A good simulation model is necessary to learn different kinds of motion, especially walking, under various conditions, and it is important to sync up the digital twin with the physical world for effective operation.
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05:50 🤖 NVIDIA showcased 9 advanced humanoids in a keynote presentation, powered by Jetson robotics computers and Isaac Sim, with the goal of integrating open AI.
- NVIDIA is showcasing 9 humanoids with advanced capabilities, all moving in the same direction towards integration and open AI.
- NVIDIA showcased 9 humanoids, including Phoenix Sanctuary, Neo, and Boston Dynamics Atlas, in a keynote presentation.
- NVIDIA showcased 9 humanoids, including xiaoi, xiaoen, xpen, and others, powered by Jetson robotics computers and Isaac Sim, with the goal of combining knowledge from various vendors for the robot world.
- The speaker urges someone to hurry up and stop wasting time before giving them a snack.
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11:30 🤖 NVIDIA introduces new generative AI and trillion-parameter computers, launching project Groot for humanoid robot learning, showcasing new robot with drink-making abilities.
- NVIDIA introduces a new Industrial Revolution with generative AI and trillion-parameter computers, revolutionizing data centers and creating valuable software.
- NVIDIA is introducing a new project called Groot, which aims to create a general purpose foundation model for humanoid robot learning.
- Nvidia's deep technology stack includes Isaac clab for simulation, Omniverse for humanoids, Osmo compute orchestration system, Jetson Thor GPU, and collaboration for acceleration and advantage.
- NVIDIA's new software architectural framework will allow many companies to succeed in creating humanoid bots, leading to more companies entering the field.
- NVIDIA and its partners collaborated in a collegial manner to learn from each other and work on future robotics technology, with EP Tronics announcing their integration with Nvidia robotics.
- NVIDIA demonstrates a new robot with the ability to make drinks, likely for industrial use before home use.
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18:00 🤖 NVIDIA and partners released impressive humanoid demos, showcasing 9 humanoids with verbal and physical capabilities and a focus on industrial use, with the ability to learn and improve motion algorithms.
- NVIDIA and its partners have released impressive humanoid demos, with more announcements expected in the future.
- NVIDIA demonstrates 9 humanoids with verbal and physical capabilities, including a robot with a new gripper developed by agility.
- Nvidia is providing humanoids with the ability to learn to walk and improve their motion algorithms through simulating tasks in a virtual environment before executing them in the real world.
- Nvidia started as a computer graphics company for gaming, but their technology is now being applied to real-world engineering problems.
- NVIDIA showcased 9 humanoids, with Agility Robotics' digit being unique for its design tailored for factory work, focusing on legs, torso, arms, and grippers.
- NVIDIA showcased humanoids with different hand designs for industrial use, highlighting the advantages of lower cost, less power consumption, and continuous work capabilities.
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24:10 🤖 NVIDIA showcased 9 humanoids at an exhibition, demonstrating their ability to recharge quickly and addressing concerns about battery life, while also partnering with companies to create business cases and software solutions for their utilization.
- NVIDIA showcased 9 humanoids at an exhibition in Atlanta, with 4 bots operating continuously for 26 hours and the ability to recharge and switch places.
- NVIDIA demonstrates that their humanoids can recharge quickly, allowing for continuous operation and addressing concerns about battery life.
- NVIDIA demonstrated real humanoids at a conference, and people who think it's fake can watch the live stream or attend the conference.
- Nvidia has announced foundational models for humanoid Bots and is partnering with companies to create business cases and software solutions for their utilization.
- Nvidia has developed virtual reality environments and robotics technology to train and demonstrate the capabilities of humanoid robots, requiring a solid physics model and powerful computing capabilities.
- Accurate modeling of the world, including shapes, roughness, angles of surfaces, and gravity, is necessary for a realistic experience in interacting with humanoids.
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30:35 🤖 NVIDIA showcases 9 humanoids with digital twin models, teleoperation, and language interfaces, demonstrating their ability to learn and replicate movements autonomously.
- NVIDIA demonstrates the use of digital twins, teleoperation, and human kinematics to train and refine humanoids for real-world tasks.
- NVIDIA demonstrates humanoids mimicking human movements through cameras and digital twin models, iterating and optimizing actions for smoother and more accurate performance.
- NVIDIA demonstrates how humanoids can develop muscle memory and reflexively react to different situations, similar to athletes, actors, and comedians, and how AI can blend actions and exhibit emergent behavior.
- NVIDIA demonstrated humanoids with language interfaces and motion capabilities, with a focus on their partnership with open AI and potential collaborations with other companies.
- NVIDIA demonstrates their technology by showcasing nine humanoids and two Disney-like bot animals, proving that they can learn and replicate movements autonomously.
- NVIDIA demonstrates 9 humanoids, showing that the future is closer than we think and people will realize it when it's too late.
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39:00 🤖 Robotics companies, with the help of Nvidia and open AI, are rapidly advancing in humanoid development, creating new opportunities and services while addressing the shortage of workers in the US.
- Robotics companies are advancing quickly with strong partners like Nvidia and open AI, making it easier for young entrepreneurs to build humanoids.
- NVIDIA demonstrates 9 humanoids, discussing the lack of competition in the market and the need for AI embodiment to be good enough.
- NVIDIA is developing humanoids at a rapid pace, but there is a shortage of workers in the US.
- Robots will create new opportunities and services, such as clothing and protective equipment, and people should focus on how to use them to improve their companies.
- Nvidia announced partnerships with nine humanoid bots, as well as other robotic devices, providing hardware, data warehouse, chips, and training simulation.
- NVIDIA showcased demos of 9 humanoids, including Phoenix, Neo, Eve, and Fier, with the potential for commercial use in the future.
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45:03 🤖 NVIDIA showcases 9 humanoids, including one from a car company, with non-nomatic actuators and not designed for mass production.
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