Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration
@article{Huang2022SeamlessID, title={Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration}, author={Zhe Huang and Ye-Ji Mun and Xiang Li and Yiqing Xie and Ninghan Zhong and Weihang Liang and Junyi Geng and Tan Chen and K. Driggs-Campbell}, journal={ArXiv}, year={2022}, volume={abs/2206.01775} }
—A robot needs multiple interaction modes to ro- bustly collaborate with a human in complicated industrial tasks. We develop a Coexistence-and-Cooperation (CoCo) human- robot collaboration system. Coexistence mode enables the robot to work with the human on different sub-tasks independently in a shared space. Cooperation mode enables the robot to follow human guidance and recover failures. A human intention tracking algorithm takes in both human and robot motion measurements as input and…
2 Citations
Learning Latent Representations to Co-Adapt to Humans
- Computer Science
- 2022
An algorithmic formalism that enables robots to co-adapt alongside dynamic humans (i.e., ego agents) using only the robot’s low-level states, actions, and rewards and can be probabilistically bound across new humans sampled from the same distribution is introduced.
Proposal for Special Session at IEEE CASE 2022
- Business
- 2021
[With the tremendous advance of society and technology, industrial systems are becoming more and more intelligent and facing a growing complexity. Complex coupling influence exists among the links…
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