Debabrata Sarkar
Papers
1
Total Citations
7
H-Index
1
About
Debabrata Sarkar is a robotics researcher whose work focuses on the locomotion and fault tolerance of multi-legged robotic systems, particularly hexapods operating in challenging, real-world environments. His key contributions lie in developing robust gait algorithms that enable these robots to maintain stable movement even when a leg is damaged or malfunctioning. In his most-cited work, "Modeling and Analysis of Fault Tolerant Gait of a Multi-legged Robot Moving on an Inclined Plane" (2014, 7 citations), Sarkar proposed a novel fault-tolerant gait specifically designed for slow, stable walking on inclined surfaces. He systematically compared various gaits and developed a general algorithm that allows a hexapod to adapt its locomotion strategy in response to leg failure, ensuring continued operation on slopes. This research is critical for applications in search-and-rescue, planetary exploration, and hazardous environment inspection, where robot reliability is paramount. Sarkar’s work bridges theoretical modeling with practical algorithm design, contributing foundational knowledge to the field of adaptive and resilient robotic locomotion.
Research Focus
Key Achievements
Top Papers
- 1