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As a learning test, I ported part of my 2D Cloth Physics Simulation to the web using #Rust 🦀 🧪 Try the mini demo: Real-time simulation with Verlet integration, touch/mouse interaction, and web delivery. #gamedev #physics #simulation #verletintegration

Claudio Z.

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90,790 次观看 • 1 年前 •via X (Twitter)

教育游戏科学技术 #Rust #gamedev #physics #simulation #verletintegration

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Just started experimenting with 2D Cloth Physics Simulation using #raylib and #cplusplus 🧵🪡 By the way, there's a clear, concise article that's an excellent starting point: #gamedev #physics #simulation #verletintegration

Just started experimenting with 2D Cloth Physics Simulation using #raylib and #cplusplus 🧵🪡 By the way, there's a clear, concise article that's an excellent starting point: #gamedev #physics #simulation #verletintegration

Claudio Z.

36,354 次观看 • 1 年前

ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used: Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth should be a grid of points connected by constraints using Verlet integration. Implement gravity and mouse interaction: the user should be able to click and drag particles to tear the cloth. The physics must remain stable without exploding.

ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used: Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth should be a grid of points connected by constraints using Verlet integration. Implement gravity and mouse interaction: the user should be able to click and drag particles to tear the cloth. The physics must remain stable without exploding.

God of Prompt

96,685 次观看 • 7 个月前

Newton 1.0 is now generally available. 🙌 Take robot learning to the next level with: 🤖 Stable Articulated & Complex Mechanism Simulation – accurate, reliable machine modeling. 🖐️ High-Fidelity Hydroelastic Contact Modeling – realistic soft contact and touch-based interactions. 🧵 Deformable Body Simulation – simulate cables, cloth, rubber, and other elastic materials with VBD. ⚡ Accelerated Robot Learning at Scale – seamless integration with open simulation and learning frameworks, NVIDIA Isaac Sim and Isaac Lab for scalable workflows. Learn how to integrate this open-source physics engine into your workflow: #NVIDIAGTC

Newton 1.0 is now generally available. 🙌 Take robot learning to the next level with: 🤖 Stable Articulated & Complex Mechanism Simulation – accurate, reliable machine modeling. 🖐️ High-Fidelity Hydroelastic Contact Modeling – realistic soft contact and touch-based interactions. 🧵 Deformable Body Simulation – simulate cables, cloth, rubber, and other elastic materials with VBD. ⚡ Accelerated Robot Learning at Scale – seamless integration with open simulation and learning frameworks, NVIDIA Isaac Sim and Isaac Lab for scalable workflows. Learn how to integrate this open-source physics engine into your workflow: #NVIDIAGTC

NVIDIA Robotics

82,124 次观看 • 4 个月前

Cloth simulation made from scratch and rendered with my WebGL2 engine. All points and joints are instanced for better performance. I have also used quaternion math to define the orientation of joints. Inspired by the C++ implementation of Verlet Cloth from pikuma.com

Cloth simulation made from scratch and rendered with my WebGL2 engine. All points and joints are instanced for better performance. I have also used quaternion math to define the orientation of joints. Inspired by the C++ implementation of Verlet Cloth from pikuma.com

Michal Zalobny

62,403 次观看 • 11 个月前

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,489 次观看 • 9 个月前

🪄 ChatGPT-5 Magic!🪄 I took the classic AI coding challenge into full 3D with our upcoming #FigminXR API — and my mind is blown 🤯 My AI built the 3D models using our Tilt Brush tools and brought them to life with it's *OWN* physics simulation! Code in the comments ⬇️

🪄 ChatGPT-5 Magic!🪄 I took the classic AI coding challenge into full 3D with our upcoming #FigminXR API — and my mind is blown 🤯 My AI built the 3D models using our Tilt Brush tools and brought them to life with it's OWN physics simulation! Code in the comments ⬇️

Javier Davalos

17,632 次观看 • 11 个月前

Sorry but this isn't even close to a realistic simulation. This Three.js water simulation took weeks of effort, hundreds of prompts, and I needed to pull on my CS and physics background to understand where the AI was failing (which happens often). Maybe some day agents will be able to generate complex simulations in a single prompt but for now they can only generate toy prototypes.

Sorry but this isn't even close to a realistic simulation. This Three.js water simulation took weeks of effort, hundreds of prompts, and I needed to pull on my CS and physics background to understand where the AI was failing (which happens often). Maybe some day agents will be able to generate complex simulations in a single prompt but for now they can only generate toy prototypes.

Dan Greenheck

16,327 次观看 • 4 个月前

Claude Fable 5 / Mythos is absolutely insane. People are already one-shotting full games, simulations, worlds, physics systems, robots, and stuff that used to need entire teams. Top generations so far: Minecraft in browser Full universe simulation Skyrim-style browser world Fable beat Pokemon by itself Crysis-style destruction physics Level Devil remake Infinite gothic city Water in glass gravity simulation Designed a whole robot German submarine simulation 3D world building from text Neon racing game This feels like the first real glimpse of AI software creation going fully wild.

Claude Fable 5 / Mythos is absolutely insane. People are already one-shotting full games, simulations, worlds, physics systems, robots, and stuff that used to need entire teams. Top generations so far: Minecraft in browser Full universe simulation Skyrim-style browser world Fable beat Pokemon by itself Crysis-style destruction physics Level Devil remake Infinite gothic city Water in glass gravity simulation Designed a whole robot German submarine simulation 3D world building from text Neon racing game This feels like the first real glimpse of AI software creation going fully wild.

VORTEX: AI Bros & AI Arena, Peak AI Buzz

74,373 次观看 • 1 个月前

This is how Strike Robot turns Simulation into Reality! One of the biggest challenges in robotics is ensuring that behaviors validated in simulation work reliably in the real world. For this experiment, we reconstructed part of a real laboratory at Eastworlds inside SR Platform. The generated layout was then deployed into MuJoCo. Using SR Agentic, the robot was tasked with finding abnormal objects in a cluttered environment and sending a Telegram notification when detected. Before deployment, everything is validated in simulation.

This is how Strike Robot turns Simulation into Reality! One of the biggest challenges in robotics is ensuring that behaviors validated in simulation work reliably in the real world. For this experiment, we reconstructed part of a real laboratory at Eastworlds inside SR Platform. The generated layout was then deployed into MuJoCo. Using SR Agentic, the robot was tasked with finding abnormal objects in a cluttered environment and sending a Telegram notification when detected. Before deployment, everything is validated in simulation.

Strike Robot

14,792 次观看 • 26 天前

My MTSDF generator is ready, built in Rust. The output is highly optimized and plugs directly into my WebGPU engine, using instanced glyphs. Text now aligns perfectly between canvas and HTML, whatever the font used, with accurate position, letter spacing and line height. 🦀 Next step is a particles module: simulation, point cloud, gaussian splatting. 🫧

My MTSDF generator is ready, built in Rust. The output is highly optimized and plugs directly into my WebGPU engine, using instanced glyphs. Text now aligns perfectly between canvas and HTML, whatever the font used, with accurate position, letter spacing and line height. 🦀 Next step is a particles module: simulation, point cloud, gaussian splatting. 🫧

Aristide Benoist

20,262 次观看 • 5 个月前

I always wondered "What if I port my three.js game to Rust? Will it improve performance?" I finally ported it to both Rust Desktop and Rust WASM (that runs on the browser) Comparing the three.js version with the Rust desktop I had a clear winner: Rust desktop. But now I took the time to port it to the web using Web Assembly (WASM) And my conclusion is... A tie! Both versions averaged 42FPS (60FPS if running one at a time) So if your goal is to ship a web game, it doesn't even matter the tech you use. (Three.js is recommended because the ecossystem is huge though) As long you optmize well (Web workers, reduce triangles, draw calls, etc) you should be good to go. But in the event you want to ship a native game to publish on Steam a system language (Rust, C++, etc) will be better for you. Now I want to port the three.js game to Desktop using Electron and see the results. I'll let you know. Btw, I'm open to new freelance projects. If you have anything for me, my DMs are open!

I always wondered "What if I port my three.js game to Rust? Will it improve performance?" I finally ported it to both Rust Desktop and Rust WASM (that runs on the browser) Comparing the three.js version with the Rust desktop I had a clear winner: Rust desktop. But now I took the time to port it to the web using Web Assembly (WASM) And my conclusion is... A tie! Both versions averaged 42FPS (60FPS if running one at a time) So if your goal is to ship a web game, it doesn't even matter the tech you use. (Three.js is recommended because the ecossystem is huge though) As long you optmize well (Web workers, reduce triangles, draw calls, etc) you should be good to go. But in the event you want to ship a native game to publish on Steam a system language (Rust, C++, etc) will be better for you. Now I want to port the three.js game to Desktop using Electron and see the results. I'll let you know. Btw, I'm open to new freelance projects. If you have anything for me, my DMs are open!

André → andreelias.dev

19,531 次观看 • 1 个月前

Bringing new meaning to the word NeRD at #CoRL2025. 🤓 Neural Robot Dynamics (NeRD) bridges the sim-to-real gap with a hybrid of neural modeling and analytical simulation, unlocking zero-shot transfer and continuous learning loops for optimal robotics training. Read more & try it in Newton 🤖

Bringing new meaning to the word NeRD at #CoRL2025. 🤓 Neural Robot Dynamics (NeRD) bridges the sim-to-real gap with a hybrid of neural modeling and analytical simulation, unlocking zero-shot transfer and continuous learning loops for optimal robotics training. Read more & try it in Newton 🤖

NVIDIA Robotics

17,556 次观看 • 9 个月前

This is running in my web browser on my laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!

This is running in my web browser on my laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!

kache

36,148 次观看 • 5 天前

Meet #HillbotAlpha, the first fully autonomous mobile manipulation robot trained using sim-to-real technology. Designed in Hillbot’s San Diego headquarters, Hillbot Alpha represents the potential of data synthesis via simulation in robotics. Through a robust strategy that combines a small sample of real-world data with synthetic data, Hillbot Alpha can effectively adapt to evolving task requirements and environments while working safely beside humans. #Hillbot #AGI #EmbodiedAI #AI #Sim2Real #ArtificialIntelligence #Simulation #Simtoreal

Meet #HillbotAlpha, the first fully autonomous mobile manipulation robot trained using sim-to-real technology. Designed in Hillbot’s San Diego headquarters, Hillbot Alpha represents the potential of data synthesis via simulation in robotics. Through a robust strategy that combines a small sample of real-world data with synthetic data, Hillbot Alpha can effectively adapt to evolving task requirements and environments while working safely beside humans. #Hillbot #AGI #EmbodiedAI #AI #Sim2Real #ArtificialIntelligence #Simulation #Simtoreal

Hao Su

13,918 次观看 • 1 年前

Oh my god honestly I popped the fuck off with this one. It took so long to get the animation and simulation to work right so unless I end up with a bunch of time or money on my hands I dunno how many more I'll be making

Oh my god honestly I popped the fuck off with this one. It took so long to get the animation and simulation to work right so unless I end up with a bunch of time or money on my hands I dunno how many more I'll be making

𝕵𝖆𝖒𝖊𝖘𝕵𝕮𝖔𝖑𝖊𝖞

13,427 次观看 • 11 个月前

Created this game demo over the weekend without writing a single line of code! Built via bolt (Claude Sonnet 3.7) and powered by R3f + three.js Try it yourself - dodge enemies with real-time physics. Here's how I created the game + a cloneable character controller project 1/7

Created this game demo over the weekend without writing a single line of code! Built via bolt (Claude Sonnet 3.7) and powered by R3f + three.js Try it yourself - dodge enemies with real-time physics. Here's how I created the game + a cloneable character controller project 1/7

Ian Curtis

395,285 次观看 • 1 年前

System identification (sysid) is the process of finding the physical parameters that make a simulation match reality. If you're training an RL locomotion policy in simulation, the accuracy of your motor model directly affects how well the policy transfers to the real robot. A recent git commit by Kevin Zakka added a sysid toolbox to MuJoCo which automates this process: you provide recorded motor data and a MuJoCo model, and it optimizes the model parameters to minimize the difference between simulated and real trajectories. For my RobStride Dynamics RS02 QDD motors (17 Nm peak, 7.75:1 gear), I built a Rust tool that sends multi-sine torque excitation at 1 kHz and records position/velocity feedback. I then feed this data into MuJoCo's sysid optimizer.

System identification (sysid) is the process of finding the physical parameters that make a simulation match reality. If you're training an RL locomotion policy in simulation, the accuracy of your motor model directly affects how well the policy transfers to the real robot. A recent git commit by Kevin Zakka added a sysid toolbox to MuJoCo which automates this process: you provide recorded motor data and a MuJoCo model, and it optimizes the model parameters to minimize the difference between simulated and real trajectories. For my RobStride Dynamics RS02 QDD motors (17 Nm peak, 7.75:1 gear), I built a Rust tool that sends multi-sine torque excitation at 1 kHz and records position/velocity feedback. I then feed this data into MuJoCo's sysid optimizer.

David Bar

48,347 次观看 • 3 个月前

Yesterday someone told me that Three.js is a toy and that as soon as the scene grows too much, it gets laggy. imho, nope 😎 Of course, nothing comes for free: • Web Worker for procedural city gen • Static shadow bake • 2D spatial hash for physics • city chunking + frustum culling everywhere • InstancedMesh props • KTX2 textures • Distance-gated water noise Frame time cut in half. VRAM down 80%. #vibejam #gamedev

Yesterday someone told me that Three.js is a toy and that as soon as the scene grows too much, it gets laggy. imho, nope 😎 Of course, nothing comes for free: • Web Worker for procedural city gen • Static shadow bake • 2D spatial hash for physics • city chunking + frustum culling everywhere • InstancedMesh props • KTX2 textures • Distance-gated water noise Frame time cut in half. VRAM down 80%. #vibejam #gamedev

Francesco Di Donato

18,112 次观看 • 3 个月前

Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)

Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)

Abhishek Gupta

10,803 次观看 • 1 年前