Papers
14
Total Citations
127
H-Index
7
About
Abhijit Mahapatra is a robotics researcher whose work has significantly advanced the understanding of multi-legged robotic systems, with particular expertise in dynamics, kinematics, and locomotion optimization. His research spans hexapod and quadruped robots, focusing on critical challenges such as energy efficiency, stability analysis, and terrain adaptability. Among his most influential contributions is his 2018 study on feet force distributions and dynamic stability during crab walking, which has garnered 28 citations and remains a key reference in legged robotics literature. His widely-read 2020 review of multi-legged robots demonstrates his broad command of the field, while his early 2009 work on computer-aided dynamic simulation using CATIA and ADAMS established a foundational framework for virtual prototyping of six-legged systems. Mahapatra's research on fault-tolerant gaits, inverse dynamic modeling via Newton-Euler approaches, and optimal force distribution across varying terrains reflects a comprehensive, application-driven methodology. His multi-body dynamic modeling contributions provide valuable tools for designing more capable and energy-conscious robotic platforms. With a body of work accumulating over 100 citations across more than a decade, Mahapatra stands as a consistent and respected contributor to the computational and mechanical foundations of legged robot locomotion.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-Legged Robots—A Review15 citations · 2020
- 3Computer Aided Dynamic Simulation of Six- Legged Robot15 citations · 2009
- 4Multi-body Dynamic Modeling of Multi-legged Robots12 citations · 2020
- 5
- 6Energy-efficient inverse dynamic model of a Hexapod robot10 citations · 2015
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