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Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
Yehor Karpichev, Todd Charter, Jayden Hong +4
The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to…
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
Zengjie Zhang, Jayden Hong, Amir Soufi Enayati +1
Reinforcement learning (RL) for motion planning of multi-degree-of-freedom robots still suffers from low efficiency in terms of slow training speed and poor generalizability. In th…
Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives
Jayden Hong, Zengjie Zhang, Amir M. Soufi Enayati +1
Finding an efficient way to adapt robot trajectory is a priority to improve overall performance of robots. One approach for trajectory planning is through transferring human-like s…