Maurice Lamb
University of Cincinnati, University of Skövde, SKF (Sweden)
Papers
9
Total Citations
167
H-Index
4
About
Maurice Lamb is a leading researcher at the intersection of human-robot interaction (HRI), cognitive science, and dynamical systems theory. His work focuses on understanding how humans coordinate with one another and translating those principles into artificial agents that can interact naturally and adaptively with people. Lamb’s major contributions include developing bio-inspired, low-dimensional dynamic models for human-machine coordination, as demonstrated in his highly cited work on human social motor solutions for human–machine interaction (77 citations). He was also among the first to integrate large-scale language models like GPT-3 into robotic systems, pioneering new paradigms for language-driven HRI (42 citations). His research on expectations in HRI (23 citations) and hierarchical behavioral dynamics for pick-and-place tasks further underscores his commitment to creating robots that are not only functional but socially fluent. Lamb’s work has direct implications for healthcare, industry, and assistive technologies, and his interdisciplinary approach—spanning psychology, robotics, and physics—has earned him recognition as a thought leader in adaptive, human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Language Models for Human-Robot Interaction42 citations · 2023
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- 5A Bio-Inspired Artificial Agent to Complete a Herding Task with Novices3 citations · 2016
- 6Investigating NARS: Inconsistent Practice of Application and Reporting2 citations · 2023
- 7Anticipatory synchronization in artificial agents2 citations · 2017
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- 9A Bio-Inspired Artificial Agent to Complete a Herding Task with Novices2 citations · 2016