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Simulating and training robots requires a physics-first approach. 🤖 With Newton, the open-source physics simulation engine co-developed by Disney Research, Walt Disney Imagineering, Google DeepMind and NVIDIA, Disney’s BDX Droid can move through shifting sand and gravel with exceptional precision. Watch to see how Newton is playing a key... show more

NVIDIA Robotics

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45,717 görüntüleme • 9 ay önce •via X (Twitter)

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From rugged terrain to soft fabrics, this droid handles it all. 🤖 With Newton, the open-source physics simulation engine co-developed by Google DeepMind and Disney Research, Walt Disney Imagineering, robots can move through shifting sand or gravel and manipulate delicate materials with greater precision than ever before. Learn how Newton is advancing robot learning and shaping the next generation of robotic systems. Watch it in action with Disney’s BDX Droid: #NVIDIAGTC

From rugged terrain to soft fabrics, this droid handles it all. 🤖 With Newton, the open-source physics simulation engine co-developed by Google DeepMind and Disney Research, Walt Disney Imagineering, robots can move through shifting sand or gravel and manipulate delicate materials with greater precision than ever before. Learn how Newton is advancing robot learning and shaping the next generation of robotic systems. Watch it in action with Disney’s BDX Droid: #NVIDIAGTC

NVIDIA Robotics

54,049 görüntüleme • 11 ay önce

Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.

Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research. ⦿ Built on NVIDIA Warp, it offers GPU-accelerated performance and compatibility with frameworks like MuJoCo and Isaac Lab. ⦿ Features differentiable physics, extensibility for multiphysics simulations, and integration with OpenUSD for flexible data modeling. ⦿ Newton addresses the sim-to-real gap by creating realistic virtual environments for robot training and testing. ⦿ Disney Research is using Newton to power next-gen entertainment robots, including Star Wars-inspired BDX droids.

The Humanoid Hub

130,388 görüntüleme • 1 yıl önce

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥

NVIDIA Robotics

21,664 görüntüleme • 7 ay önce

Have you seen Walt Disney Imagineering's BDX Droid, Grek? Watch Grek in action on stage and see how Disney Research, @GoogleDeepmind and @NVIDIAOmniverse work together to bring next-generation robots to life.

Have you seen Walt Disney Imagineering's BDX Droid, Grek? Watch Grek in action on stage and see how Disney Research, @GoogleDeepmind and @NVIDIAOmniverse work together to bring next-generation robots to life.

NVIDIA Robotics

137,280 görüntüleme • 1 yıl önce

NEW: Disney is now teaching robots to walk, run, and move with different personalities or styles, while a person controls their movements. Walt Disney Imagineering could use this method to bring characters to life at Disney Parks through new actions and emotions.

NEW: Disney is now teaching robots to walk, run, and move with different personalities or styles, while a person controls their movements. Walt Disney Imagineering could use this method to bring characters to life at Disney Parks through new actions and emotions.

Drew Smith

28,516 görüntüleme • 16 gün önce

1) Google DeepMind CEO says robots can learn by acting in the world... OR they can just watch videos 2) Nvidia is training robots in a simulation that accelerates physics by ***10,000x*** The robots undergo 1 YEAR of training but take only ~50 MINUTES of wall clock time Consider the implications of this for how fast things could change

1) Google DeepMind CEO says robots can learn by acting in the world... OR they can just watch videos 2) Nvidia is training robots in a simulation that accelerates physics by 10,000x The robots undergo 1 YEAR of training but take only ~50 MINUTES of wall clock time Consider the implications of this for how fast things could change

AI Notkilleveryoneism Memes ⏸️

42,424 görüntüleme • 1 yıl önce

Nvidia showcases Blue, a cute little robot powered by the Newton physics engine. This was the „wow“-moment for me. Robots are coming. This time for real. And I am all in for it!

Nvidia showcases Blue, a cute little robot powered by the Newton physics engine. This was the „wow“-moment for me. Robots are coming. This time for real. And I am all in for it!

Chubby♨️

1,918,485 görüntüleme • 1 yıl önce

NVIDIA showcases Blue, a cute little Star Wars robot with personality developed by Disney and Google DeepMind

NVIDIA showcases Blue, a cute little Star Wars robot with personality developed by Disney and Google DeepMind

vids that go hard

149,057 görüntüleme • 1 yıl önce

Humanoid robot development is too fragmented to scale. 🤖 With NVIDIA Isaac GR00T, developers unify simulation, data, and training in one open platform, cutting setup time from days to hours. See how Isaac GR00T helps research teams move faster from robot bring-up to skill development and real-world validation. Watch now 📺

Humanoid robot development is too fragmented to scale. 🤖 With NVIDIA Isaac GR00T, developers unify simulation, data, and training in one open platform, cutting setup time from days to hours. See how Isaac GR00T helps research teams move faster from robot bring-up to skill development and real-world validation. Watch now 📺

NVIDIA Robotics

22,669 görüntüleme • 4 ay önce

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

Chuang Gan

90,841 görüntüleme • 1 yıl önce

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 🔗

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

28,742 görüntüleme • 1 ay önce

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

Dave Lee

372,039 görüntüleme • 3 yıl önce

NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯 A 472GB collection covering everyday objects, tools and industrial equipment. It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments. - Train robots to pick up and move objects - Build virtual factories and warehouses - Generate labelled training images - Populate 3D scenes with ready-made objects Useful for robotics research, digital twins and anyone building detailed virtual environments. Download the collection below 👇

NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯 A 472GB collection covering everyday objects, tools and industrial equipment. It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments. - Train robots to pick up and move objects - Build virtual factories and warehouses - Generate labelled training images - Populate 3D scenes with ready-made objects Useful for robotics research, digital twins and anyone building detailed virtual environments. Download the collection below 👇

Oliver Prompts

670,118 görüntüleme • 3 gün önce

Fortnite will play a central role in Disney’s future. I spoke with Garrett Wymer about how Disney continues to build new Fortnite experiences to connect with fans worldwide. We’ve seen Disney connect in all-new ways through Fortnite, bringing The Walt Disney Studios and Disney Parks together like never before. And this is just the beginning of what The Walt Disney Company and Epic Games have planned. Unreal Engine 6 will power the future, including Disney’s groundbreaking digital Fortnite universe. Before players can play, watch, shop, and engage with characters and stories from Disney, Pixar, Marvel, Star Wars, Avatar, and more, Fortnite already has so much to offer. In-game experiences featuring Star Wars, Toy Story, and Kingdom Hearts are the perfect “appetizer” before the digital universe debuts.

Drew Smith

20,718 görüntüleme • 1 ay önce

A new paper by Disney Research introduces a 2-stage technique for motion tracking in physics-based character animation, using a pretrained latent space and RL to control diverse and unseen motions on both virtual and real-world humanoid robots. Paper:

A new paper by Disney Research introduces a 2-stage technique for motion tracking in physics-based character animation, using a pretrained latent space and RL to control diverse and unseen motions on both virtual and real-world humanoid robots. Paper:

The Humanoid Hub

20,111 görüntüleme • 2 yıl önce

MEET BLUE: NVIDIA’S REAL-LIFE WALL-E Blue is an AI robot that moves, reacts, and talks like something straight out of a Pixar film. Blue runs on 2 NVIDIA computers and uses a physics engine for ultra-realistic tactile feedback, rigid and soft body simulation, all in real time. This isn’t a concept, this is how NVIDIA plans to train robots for the real world. And yes, it casually stole the show. Source: entrepreneurialogy

MEET BLUE: NVIDIA’S REAL-LIFE WALL-E Blue is an AI robot that moves, reacts, and talks like something straight out of a Pixar film. Blue runs on 2 NVIDIA computers and uses a physics engine for ultra-realistic tactile feedback, rigid and soft body simulation, all in real time. This isn’t a concept, this is how NVIDIA plans to train robots for the real world. And yes, it casually stole the show. Source: entrepreneurialogy

Mario Nawfal

38,388 görüntüleme • 1 yıl önce

Out now with PSP 1.4 (See bi0) Hook by regions: An advanced hooking method that can interact with physics. It allows you to move a physics mesh in real-time and animate your actions. #blender #b3d #3DCG #3danimated #3dart

Out now with PSP 1.4 (See bi0) Hook by regions: An advanced hooking method that can interact with physics. It allows you to move a physics mesh in real-time and animate your actions. #blender #b3d #3DCG #3danimated #3dart

BS_Creative

25,178 görüntüleme • 1 yıl önce