Hands down, this hands-on session is one of the coolest I’ve been so far! Today we got to train a robot on Mars. Well, in simulation. The mission: retrieve a fuel cell 200 meters away and bring it back before life support runs out. There was one problem. The quadruped already knew how to walk, but it had been trained for Earth. Earth gravity: 9.81 m/s². Mars: 3.72 m/s². Put the same policy on the Martian surface and the robot basically trips over itself. So we had to teach it how to walk again. We used reinforcement learning, specifically PPO, trained the policy on CoreWeave infrastructure and tested it in simulation. Then you look at what happened, change the training setup and run it again. Sometimes the robot walks. Sometimes it does something completely stupid. That was probably my favorite part. What I liked about the workshop was actually seeing that loop end to end instead of another slide about Physical AI. Led by Anushrav V., @CoreWeave’s Robotics Field Engineering Lead, at Fully Connected.