Michael A. Goodrich

Michael A. Goodrich is a Professor in the Department of Computer Science at Brigham Young University, with an extensive research career spanning over two decades in robotics, human-robot interaction, and swarm intelligence. His work bridges theoretical foundations with practical applications, particularly in autonomous systems and multi-agent coordination.

His research interests focus on Robotics, Human-Robot Interaction, Swarm Robotics, Artificial Intelligence, and Autonomous Systems. Goodrich's work explores how humans and robots can effectively collaborate, with particular emphasis on proficiency assessment, resilience, and communication in human-robot teams. His research has significant applications in search and rescue operations, swarm robotics, and autism therapy.

Analysis of his recent publications reveals a strong focus on robot self-assessment capabilities, swarm behavior optimization, and resilience in multi-agent systems. His work increasingly integrates formal methods with practical robotics applications, creating frameworks for robots that can assess their own capabilities and communicate this information effectively to human teammates.

Among his notable contributions are frameworks for robot proficiency self-assessment using assumption-alignment tracking, methods for designing resilient swarm behaviors, and formalizations of resilience for goal-oriented agents. His work has been published consistently in top venues including IEEE Transactions on Robotics, ACM Transactions on Human-Robot Interaction, and International Journal of Robotics Research.

Dr. Goodrich has advised numerous students who have become active researchers in the field, including Aadesh Neupane, Daqing Yi, Xuan Cao, and Puneet Jain. His collaborative work spans multiple institutions and has practical applications in wilderness search and rescue, autism therapy, and multi-robot coordination systems.