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Improving Human-Robot Collaboration via Computational Design
When robots entered our day-to-day life, the shared space surrounding humans and robots is critical for effective Human-Robot collaboration.
Designing Human-Robot Coexistence Space
Our implementation shows that the proposed framework can produce a design around three to five minutes on average comparing to 10 to 20 minutes without the proposed motion planner.
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning
Rule-based methods, on the other hand, can handle more complex scenarios in which environments are cluttered with obstacles and allow multiple shepherds to work collaboratively.
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