Anish Monachan
Papers
1
Total Citations
2
H-Index
1
About
Anish Monachan is a researcher in human-robot interaction, with a focus on physical collaboration and negotiation dynamics. His work explores how humans and robots coordinate during shared tasks, particularly in comanipulative settings where both agents physically influence motion. His most-cited study, "An experimental study of parameters influencing physical Human-Robot negotiation in comanipulative tracking task" (2019), investigates how a virtual partner’s leadership propensity affects human behavior during a tracking task requiring negotiation. This research sheds light on the subtle interplay of trust, control, and adaptation in physical human-robot teams, contributing to the design of more intuitive and responsive collaborative robots. While his citation count is modest, his work addresses a critical gap in understanding real-time physical negotiation—a key challenge for applications in manufacturing, rehabilitation, and assistive robotics. Monachan’s findings have implications for developing robots that can dynamically adjust their behavior to complement human partners, advancing the field of shared autonomy. His research is particularly valuable for students and engineers seeking to build robots that feel like natural collaborators rather than mere tools.
Research Focus
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Top Papers
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