Papers
9
Total Citations
320
H-Index
7
About
Arnab Sinha is a leading researcher in field robotics, specializing in urban search and rescue (USAR) and human-robot teaming. His most impactful work, the field report on rescue robots deployed after the 2012 Mirandola, Italy earthquakes (135 citations), provides critical real-world validation of robotic systems in disaster response. Sinha’s major contributions center on system design for effective human-robot collaboration, as evidenced by his highly cited 2013 paper (88 citations) on user-centric design for USAR teams. He has advanced autonomous navigation in cluttered, hazardous environments through novel perception methods, including LIDAR-based terrain gap detection (28 citations) and augmented reality interfaces for trajectory planning (14 citations). Sinha’s work also extends to biomimetic robotics, developing reconfigurable spider-inspired robots with monocular vision for terrain perception (12 citations). His research on staircase detection from 3D point clouds (12 citations) and terrain traversability analysis (7 citations) has further enabled multi-floor exploration in complex indoor rescue scenarios. With over 320 total citations, Sinha’s applied, field-tested innovations bridge the gap between laboratory robotics and real-world disaster response, making him a key figure in advancing autonomous rescue systems.
Research Focus
Key Achievements
Top Papers
- 1Rescue robots at earthquake-hit Mirandola, Italy: A field report135 citations · 2012
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- 4Experience in system design for human-robot teaming in urban search & rescue21 citations · 2025
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- 7A staircase detection method for 3D point clouds12 citations · 2014
- 8Terrain traversability in rescue environments7 citations · 2013
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