Papers
4
Total Citations
60
H-Index
2
About
Lucas Roche investigates the cognitive and mechanical foundations of physical human-robot interaction, with a focus on how humans and machines negotiate control during collaborative tasks. His work bridges robotics, haptics, and cognitive science to understand the sense of agency—the feeling of being in control—during joint action. Roche’s most cited paper (47 citations) examines how this sense of agency differs when collaborating with a human versus a robot, revealing critical insights for designing intuitive robotic partners. He developed a statistical state machine model for haptic communication in comanipulative tasks, experimentally validating how humans use time-based cues to coordinate physically. His research on kinesthetic negotiation ability demonstrates that humans can effectively handle asymmetrical information in lightweight decision-making tasks, informing the design of virtual partners that adapt to human behavior. By systematically studying parameters that influence physical human-robot negotiation, Roche provides foundational knowledge for creating robots that can fluidly share control with human operators. His work has direct implications for assistive robotics, teleoperation, and collaborative manufacturing, where seamless physical cooperation is essential.
Research Focus
Key Achievements
Top Papers
- 1The sense of agency in human-human vs human-robot joint action47 citations · 2019
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