Eric Townsend
Papers
3
Total Citations
31
H-Index
3
About
Eric Townsend is a robotics researcher whose work centers on human-robot interaction, collaborative manipulation, and the development of intelligent robot controllers inspired by natural human behavior. His research focuses particularly on the challenging problem of co-manipulation — scenarios in which a human and robot must jointly handle large, extended objects, a task complicated by the inherent ambiguity in coordinating desired motion between partners. Townsend's most significant contribution lies in his data-driven approach to bridging human-human and human-robot collaboration. His foundational 2017 study, which has garnered 19 citations, characterized the force and motion dynamics of human dyads during lateral co-manipulation tasks, establishing a behavioral baseline that robots can emulate. Building on this empirical groundwork, his subsequent work translated these human-human insights into practical controllers for human-robot systems, with papers in 2020 and 2024 demonstrating how learned models can enable more intuitive and coordinated robotic partners. With a growing body of work accumulating over 30 citations, Townsend's research addresses a critical gap in robotics: making collaborative robots feel natural and responsive to human partners, a capability increasingly important in manufacturing, assistive technology, and beyond.
Research Focus
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Top Papers
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