Lisa Burr
Papers
2
Total Citations
34
H-Index
2
About
Lisa Burr’s research lies at the critical intersection of human-robot interaction (HRI) and psychological safety, where she investigates how a robot’s behavior can inadvertently trigger dangerous human reactions. Her key contributions focus on understanding and mitigating **involuntary human motions**—specifically startle and surprise responses—that arise during close-proximity collaboration. In her most-cited work, “Expectable Motion Unit: Avoiding Hazards From Human Involuntary Motions in Human-Robot Interaction” (2022, 19 citations), Burr proposes a novel control framework that accounts for a person’s psychological state and expectations, moving beyond purely biomechanical safety metrics. Her 2021 study (15 citations) experimentally demonstrates that interactive user training can reduce the occurrence of startle-surprise motions, thereby lowering collision risk. By quantifying the link between arousal, habituation, and rapid involuntary movement, Burr’s research provides actionable design principles for robots that are not only physically safe but also psychologically predictable. Her work has been recognized as foundational for developing socially aware robotic systems, earning her a reputation as a leading voice in human-centered robotics.
Research Focus
Key Achievements
Top Papers
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