HERA: Humanoid Edge-controlled Robots with Adaptive Intelligence
- Project Group

On this basis, the group solved a sequential cube-stacking task with reinforcement learning handled by PPO policies. Training ran across 4096 parallel environments with randomized resets and noisy observations, which noticeably improved robustness and generalization. For execution on the real robot, a stereo camera pipeline locates the cubes including color segmentation, and depth data yielding their 3D positions. The resulting actions are published via ROS 2 sent as joint commands to the physical PIB robot. Finally, the students presented their concept, results and a live demonstration to the members of ComNets Dortmund. The project group is part of the Master's degree program Automation and Robotics and challenges students to solve scientific tasks collaboratively.
Further information:
Chair: Chair of Communication Networks (ComNets)
Supervisors: Niklas Wagner, Kevin Šabanović
Start date: October 2025
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