Papers
32
Total Citations
391
H-Index
11
About
Raymond Sheh is a robotics researcher whose work sits at the intersection of autonomous systems, human-robot interaction, and artificial intelligence. Best known for his pioneering contributions to Urban Search and Rescue (USAR) robotics, Sheh has spent his career tackling one of the field's most pressing challenges: enabling robots to operate effectively in dangerous, unstructured environments. His most cited work, "Effective User Interface Design for Rescue Robotics" (2006, 92 citations), established foundational principles for human-robot interfaces at a time when full autonomy remained out of reach. Complementing this, his research on terrain feature extraction and behavioural cloning pushed the boundaries of autonomous rough-terrain navigation. Sheh has been a central figure in the RoboCupRescue Robot League, using competition frameworks to accelerate the development and standardization of rescue robot test methods — work recognized across multiple influential publications. More recently, he has expanded into explainable AI, questioning how intelligent systems justify their decisions to human users, and even applied machine learning to robotic orthopaedic surgery. With over 250 cumulative citations, Sheh's career reflects a sustained commitment to making robots not only capable, but trustworthy and practically deployable in high-stakes real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1Effective user interface design for rescue robotics92 citations · 2006
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- 4"Why did you do that?" Explainable intelligent robots21 citations · 2017
- 5RoboCup 2016: Robot World Cup XX21 citations · 2017
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- 7RoboCup Rescue Robot League18 citations · 2015
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- 9Behavioural cloning for driving robots over rough terrain16 citations · 2011
- 10Emergency response robot evaluation exercise13 citations · 2012