Michael J. Richardson
Papers
13
Total Citations
157
H-Index
6
About
Michael J. Richardson is a leading researcher at the intersection of human-machine interaction, multiagent systems, and behavioral dynamics. His work fundamentally explores how humans and artificial agents—from robots to virtual characters—can coordinate seamlessly in real-world tasks. Richardson’s most impactful contribution, “Human social motor solutions for human–machine interaction in dynamical task contexts” (77 citations), establishes foundational principles for designing interactive agents that adapt to human social motor behavior. He has pioneered bio-inspired herding algorithms, demonstrating how small groups of “herder agents” can control larger ensembles of autonomous agents, with applications in swarm robotics and crowd management. His research extends to practical assistive technologies, including momentum-based trajectory planning for lower-limb exoskeletons to support sit-to-stand transitions. Richardson also investigates collaborative dynamics in virtual environments, from multiplayer video game conversation patterns to Wizard of Oz systems for designing conversational agents. With over 150 total citations across his top works, his contributions are shaping the future of adaptive human-robot collaboration, particularly in healthcare, industry, and team training contexts. His work uniquely bridges theoretical dynamical systems with tangible robotic and virtual agent applications.
Research Focus
Key Achievements
Top Papers
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- 5Conversation dynamics in a multiplayer video game with knowledge asymmetry10 citations · 2022
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- 8A Bio-Inspired Artificial Agent to Complete a Herding Task with Novices3 citations · 2016
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