Papers
13
Total Citations
267
H-Index
6
About
Gora Chand Nandi is a leading researcher in bipedal locomotion, humanoid robotics, and human-robot interaction. His most significant contributions lie in modeling the complex, discrete subphases of human gait using hybrid automata—a framework that captures both the continuous dynamics and discrete transitions of walking. Nandi’s work on generating joint trajectories and designing vector fields for each subphase (hip, knee, ankle) has been foundational, with two of his 2016 papers each garnering 63 citations. He has also advanced push recovery in bipeds, a critical capability for stable humanoid robots, earning 57 citations for his 2015 study. Beyond locomotion, Nandi has innovated in rescue robotics, proposing a technique for extracting children trapped in borewells, and in deep learning for emotion prediction and scene recognition in human-robot interactions. His research integrates optimization, stability, and energy efficiency, as seen in his multiobjective function for bipedal walking. With over 260 total citations, Nandi’s work bridges theoretical modeling and practical robotics, making him a key figure in developing more agile, reactive, and context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Toward Developing a Computational Model for Bipedal Push Recovery–A Brief57 citations · 2015
- 4Modeling bipedal locomotion trajectories using hybrid automata42 citations · 2016
- 5Rescue Robotics in Bore well Environment16 citations · 2014
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- 7Context-aware 6D pose estimation of known objects using RGB-D data4 citations · 2023
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