Matthew C. Gombolay

Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints.

National Science Foundation (U.S.). Graduate Research Fellowship Program (grant number 2388357)

Decision-making authority, team efficiency and human worker satisfaction in mixed human---robot teams

In manufacturing, advanced robotic technology has opened up the possibility of integrating highly autonomous mobile robots into human teams. However, with this capability comes the issue of how to maximize both team efficiency and the desire of human team members to work with these robotic counterparts. To address this concern, we conducted a set of experiments studying the effects of shared decision-making authority in human–robot and human-only teams. We found that an autonomous robot can outperform a human worker in the execution of part or all of the process of task allocation (

Robotic Assistance in Coordination of Patient Care

p<0.001

Queueing theoretic analysis of labor and delivery

p<0.001 for both), and that people preferred to cede their control authority to the robot

Workshop on Longitudinal Human-Robot Teaming

(p<0.001)

Human-Machine Collaborative Optimization via Apprenticeship Scheduling

(p<0.001). We also established that people value human teammates more than robotic teammates; however, providing robots authority over team coordination more strongly improved the perceived value of these agents than giving similar authority to another human teammate