Goodrich

About

Goodrich’s research lies at the intersection of human-robot interaction and multi-agent systems, with a particular focus on scalable control strategies for robot teams. His work addresses the fundamental challenge of balancing autonomy and human oversight in complex, dynamic environments. In his highly cited 2007 study, "Managing autonomy in robot teams: Observations from four experiments" (20 citations), Goodrich provides critical empirical insights into how varying levels of autonomy affect team performance and human workload, establishing foundational principles for mixed-initiative control. Building on this, his 2009 paper "On using mixed-initiative control: A perspective for managing large-scale robotic teams" (6 citations) offers a conceptual framework for designing systems where humans and robots collaborate seamlessly, even as team sizes grow. Goodrich’s contributions are particularly valued for their practical, experiment-driven approach, bridging theory and real-world application. His work has influenced the design of supervisory control interfaces and adaptive autonomy algorithms, making him a key figure in the development of scalable, human-centered robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Managing autonomy in robot teams: Observations from four experiments

   20 citations · 2007
2. 2
   On using mixed-initiative control: A perspective for managing large-scale robotic teams

   6 citations · 2009

Key Collaborators

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