Autonomous Robots in Simulation: OM1 + Gazebo
Watch a Unitree Go2 robot map, navigate, and respond to audio cues — all in simulation powered by OM1.
OpenMind - Building an open, decentralized ecosystem for real-world robotics and AI
Innovation Properties Group - Transforming how science and technology find their place to grow
Step into the future of robotics, even if you don’t have a robot at hand.
Simulation allows you to develop, test, and explore autonomous behavior safely and efficiently, without access to expensive hardware.
Observe SLAM and real-time mapping in a simulated environment
Autonomous navigation and decision-making
Trigger audio-based interactions and make the robot switch to a different mode
Modify the personality of the robot and observe the results
Requirements for Attendees:
Operating System: Ubuntu 22.04 (either natively installed or in a virtual machine)
ROS 2 Humble: Pre-installed (instructions will be shared ahead of time)
Laptop: Must meet minimum specs to run Gazebo simulation smoothly
Just want to see it in action? You’re still very welcome.
Workshop Agenda | 4:00 – 6:30 PM
4:00 – 4:15 PM | Doors Open & Soft Star
Attendees arrive
Light networking & refreshments available
4:15 – 4:30 PM | Official Kickoff & Live Demo
Welcome & introductions
Quick Live Demo
4:30 – 6:10 PM | Hands-On Core Session
6:10 – 6:25 PM | Wrap-Up & Q&A
6:25 – 6:30 PM | Closing Remarks
Guidelines
Entry will be granted only to registered participants.
Check-in opens at 4:00 PM and entry will be verified through Luma registration.
Photos and videos may be taken during the event for community documentation and social media sharing. By registering, participants are considered to have agreed to this.
Registration may close early once capacity is reached.
The workshop is ideal for:
Robotics students and early-career engineers interested in autonomy and simulation
Researchers and practitioners working with ROS 2, Gazebo
AI / robotics enthusiasts curious about SLAM, navigation, and multimodal sensing
Anyone who wants to experiment with autonomous robots without access to physical hardware
Come learn, experiment, and connect with others building the future of autonomous robots.