4 papers
Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
Alex Cuellar, Michael Hagenow, Julie Shah
Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a challenge due to the diff…
Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC
Ane San Martin, Michael Hagenow, Julie Shah +2
As robot technology advances, collaboration between humans and robots will become more prevalent in industrial tasks. When humans run into issues in such scenarios, a likely future…
Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection
Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang +1
Previous methods for Learning from Demonstration leverage several approaches for a human to teach motions to a robot, including teleoperation, kinesthetic teaching, and natural dem…
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao +2
Grounding the common-sense reasoning of Large Language Models (LLMs) in physical domains remains a pivotal yet unsolved problem for embodied AI. Whereas prior works have focused on…