Papers
14
Total Citations
131
H-Index
6
About
Dr. Dugan Um is a robotics researcher whose work spans sensor-based motion planning, 3D vision, and human-robot interaction. His most influential contribution is the development of a modularized "sensitive skin" for robots, enabling real-time collision avoidance in uncertain environments without requiring environmental models—a concept that has garnered 38 citations in his foundational 2002 paper. He has also advanced 3D depth sensing through his work on infrared proximity array (IPA) sensors, which allow for single-camera 3D surface reconstruction, with applications in industrial and medical vision systems (32 citations). Dr. Um's research extends into social robotics, where he has explored how robots can detect human personality traits from speech characteristics to improve human-robot interaction, as seen in his 2020 study on introversive and extroversive male groups. His work on fault tolerance for large sensor arrays addresses critical reliability issues in complex automation. With over 120 total citations across his top papers, Dr. Um's innovations in sensor-based robotics and human-aware systems continue to influence both autonomous navigation and socially assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1A modularized sensitive skin for motion planning in uncertain environments38 citations · 2002
- 2
- 3Fault tolerance via analytic redundancy for a modularized sensitive skin12 citations · 2003
- 4
- 5
- 6
- 7
- 8A Social Robot, “Dali,” for Aging in Place Technology4 citations · 2018
- 9
- 10