Hi everyone,
This isn’t a ROS project, it’s all Isaac Sim / Isaac Lab, but I wanted to share it anyway because the students worked really hard.
We run a non-profit robotics competition for high school students in Korea.
Each team trained walking policies for a humanoid (Unitree H1) or a quadruped (Go2) by tuning reward functions. In the finals, the robots collect cubes in an arena with stairs, ramps and a moving car. Most of the students had never done reinforcement learning before this year.
Training records (successes and failures): [robotics.connect.or.kr/researchlog](ì°êµ¬ ê¸°ë¡ | NCRC 2026)
Match videos: https://www.youtube.com/@ncrc_official
Please take a light look. Thanks!