Sambit Kumar Sahu

Indian Institute of Technology Kharagpur

Papers

Total Citations

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About

Sambit Kumar Sahu is a leading researcher in the field of bipedal robotics, with a primary focus on dynamic locomotion and gait generation for humanoid robots navigating complex environments. His work centers on the challenge of achieving dynamically balanced ascending and descending gaits, particularly for stair navigation—a critical capability for real-world robotic mobility. Sahu’s major contributions include pioneering the use of soft computing techniques, such as fuzzy logic and neural networks, to generate stable gaits under imprecise or uncertain conditions, moving beyond traditional deterministic models. His most-cited paper, “Dynamically Balanced Ascending and Descending Gaits of a Two-Legged Robot” (2007), with 29 citations, establishes foundational kinematic constraints and dynamic balance margins for a 7-DOF biped robot on stairs. A second influential work (14 citations) demonstrates how soft computing algorithms can adapt gait generation online, enhancing robustness. Sahu’s research is notable for bridging theoretical dynamics with practical, real-time control, offering scalable solutions for humanoid robots in unstructured settings. His achievements underscore a commitment to advancing autonomous locomotion, making his work essential for students and engineers developing next-generation walking robots.