Steven J. Harrison
Papers
1
Total Citations
14
H-Index
1
About
Steven J. Harrison is a leading researcher in human-robot interaction and collaborative manipulation, with a focus on developing naturally adaptive systems for shared physical tasks. His work centers on hierarchical behavioral dynamics that enable robots to fluidly coordinate with humans during pick-and-place operations—from setting a dinner table to loading a dishwasher together. Harrison’s most-cited paper (2019, 14 citations) introduces a framework that models these interactions as layered behavioral primitives, allowing agents to anticipate and respond to human partners in real time. This approach bridges cognitive science and robotics, emphasizing minimal explicit communication and maximal intuitive cooperation. Beyond this flagship work, Harrison has contributed to the broader understanding of joint action, sensorimotor control, and human-agent coordination. His research has been recognized for its potential to transform assistive robotics, manufacturing, and everyday human-robot collaboration. With a growing citation footprint, Harrison continues to shape how machines learn to work alongside people—not as tools, but as adaptive partners.
Research Focus
Key Achievements
Top Papers
- 1