🏆 Bonus Prizes – Brev Cloud Credits from NVIDIA:
🥇 1st Place: €150 in cash + $500 in credits
🥈 2nd Place: $250 in credits
🥉 3rd Place: $100 in credits
🖥️ What is NVIDIA Brev? 
Brev gives you instant access to GPU-powered cloud workspaces (A100s, H100s, 1TB RAM...) with zero DevOps. It’s perfect for robotics, AI training, sim2real pipelines, and tools you can run straight from your browser.
🔧 Key Features:
→ Pre-configured GPU sandboxes
→ Ready-to-launch “Launchables” (notebooks, repos, apps)
→ Built-in support for Jupyter, CUDA, Python, and GitHub
→ Just build and go →
- Supporters: NVIDIA Madison Huang, Michael "Gus" Gussert, Eric "Strainflow" Bowman, Scott "Sirens" Dempsey, Edmar Mendizabal, Robert (Rob) Murrer
- You can support me here:
LycheeAI
Hi, I’m Muammer Bay, the creator behind LycheeAI!I’m passionate about robotics simulation & artificial intelligence. On my YouTube channel, I share in-depth tutorials on NVIDIA Omniverse's Isaac S
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🗓 Important Dates
- Official Start: Monday, July 21
- Submission Deadline: Sunday, August 03 @ 11:59 PM CEST - Updated
- Voting Period: Monday, August 04 – Wednesday, August 06 @ 11:59 PM CEST - Update
🔥 Challenge
Build a mobile vehicle robot in Isaac Sim or Isaac Lab to show off your creativity with unique designs and smart driving systems!
If you're interested in contributing or sponsoring these tournaments by adding to the prize pool or providing support, please don't hesitate to get in touch.
At minimum, your robot must: ✅ Include articulations (e.g., joints, wheels, etc.) ✅ Be able to drive using wheels in a stable manner
📔 Resources
- WheeledLab (Reinforcement Learning for Wheeled Robots)
- Black Coffee Robotics
- Nex-dynamics robot
- Robot Mania (many videos)
- Road Balance Robotics
- Isaac Sim Documentation
- Isaac Lab Reinforcement Learning JetBot
Autonomous Mobile Robot with Isaac Sim and ROS2
🎉 We’re excited to announce that bcr_bot is now compatible with NVIDIA Isaac Sim! This integration allows us to leverage Isaac Sim’s high-fidelity simulations alongside ROS 2 for enhanced testing and development of autonomous navigation and mapping. It's perfect for researchers, developers, and anyone working in autonomous mobile robotics! Link to blog - https://www.blackcoffeerobotics.com/blog/isaac-sim-photorealistic-rendering-for-next-gen-robot-development Github - https://github.com/blackcoffeerobotics/bcr_bot #isaac #nvidiaomniverse #ros2 #AMR #robotics #simulation Subscribe to our YT channel - https://bit.ly/3sOI9PP Follow us on LinkedIn - https://www.linkedin.com/company/blackcoffeerobotics/ Follow us on Twitter - https://twitter.com/bcrllp
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Isaac Sim TurtleBot Crash Course: Complete ROS2 Navigation Guide for Beginners
Ready to dive into NVIDIA Isaac Sim with ROS2? This crash course is perfect for beginners looking to explore TurtleBot navigation in Isaac Sim! 🐢✨ In this video, we'll cover: ✅ Importing the TurtleBot URDF into Isaac Sim ✅ Setting up the Action Graph for seamless navigation ✅ Step-by-step guide to creating a full Isaac Sim environment for ROS2 💬 Having issues implementing your robot in Isaac Sim? Share your questions or challenges on the NVIDIA Developer Forum: https://forums.developer.nvidia.com/ 🔗 Chapters: 0:00 - Introduction 1:45 - Importing the TurtleBot URDF 4:30 - Action Graph Setup for Navigation 10:15 - ROS2 Integration in Isaac Sim 15:45 - TurtleBot Navigation Testing 💡 Drop your questions in the comments or on the NVIDIA Developer Forum for further guidance! Don't forget to like and subscribe for more robotics content. #IsaacSim #TurtleBot #ROS2 #RobotSimulation #NVIDIAIsaacSim #BeginnersGuide"
www.youtube.com
robot mania
Hi! If you are seeing this page, I suppose you are interested in robotics. On this channel, I am publishing small projects that I carried out as a hobby. Every program or model provided is free to use. But everything here is provided without any warranty. I hope these projects will help you as a starting point in your own projects and will be enjoyable for you to spend time working on.
www.youtube.com
[OMNIVERSE] Ultimate Guidance for Isaac Sim Wheeled Robots
🧑🏻💻 Github Repository for this video ► https://github.com/Road-Balance/RB_WheeledRobotExample ⚙️ More about RB ► Road Balance Education link : https://roadbalance_edu.teachable.com/ ► My LinkedIn : https://www.linkedin.com/in/swimmingkim/ ► My Github : https://github.com/kimsooyoung ☕️ SUPPORT ► Buy me a coffee: https://buymeacoffee.com/roadbalance_edu
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![[OMNIVERSE] Ultimate Guidance for Isaac Sim Wheeled Robots](https://images.spr.so/cdn-cgi/imagedelivery/j42No7y-dcokJuNgXeA0ig/3427f686-5ef6-4f38-bdbd-ac847297ef27/maxresdefault/w=640,quality=90,fit=scale-down)
Mobile Robot Controllers — Isaac Sim Documentation
The differential controller uses the speed differential between the left and right wheels to control the robot’s linear and angular velocity. The differential robot enables the robot to turn in place and is used in the NVIDIA Nova Carter robot.
docs.isaacsim.omniverse.nvidia.com
Training the Jetbot: Ground Truth — Isaac Lab Documentation
With the environment defined, we can now start modifying our observations and rewards in order to train a policy to act as a controller for the Jetbot. As a user, we would like to be able to specify the desired direction for the Jetbot to drive, and have the wheels turn such that the robot drives in that specified direction as fast as possible. How do we achieve this with Reinforcement Learning (RL)? If you want to cut to the end and checkout the result of this stage of the walk through, checkout this branch of the tutorial repository!
isaac-sim.github.io