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Multi-Robot Collaborative Manipulation

A framework for coordinating 2–3 robotic arms on shared manipulation tasks, using reinforcement learning for task allocation and ROS2 + MoveIt2 + Open3D for the full execution stack.

Status: Work in progress.

Planned experiments

  1. Multi-arm speedup — does adding arms reduce batch completion time?
  2. RL vs. baseline allocators — does PPO beat simpler scheduling heuristics?
  3. Motion planning latency — does trajectory caching reduce planning time?

Results will be reported here once measured.

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Multi-robot collaborative manipulation framework with RL-based task allocation

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