Darshana Neog
Papers
1
Total Citations
14
H-Index
1
About
Darshana Neog is a robotics researcher whose work focuses on bio-inspired locomotion and the development of agile, legged robots capable of navigating complex terrains. Her most-cited paper, "A Bio-Inspired Implementation of Walking and Stair Climbing on a Quadruped Robot" (2018, 14 citations), addresses a critical gap in biomimetic robotics by introducing novel algorithms for four-leg coordination that enable both stable walking and quasi-static stair climbing. This contribution is particularly significant because stair climbing remains a challenging problem for legged robots, and Neog’s biologically inspired approach offers a practical solution that mimics natural animal gaits. By demonstrating how simple, decentralized control strategies can produce robust, adaptive locomotion, her work has influenced subsequent research in field robotics and assistive technologies. Neog’s research exemplifies how drawing inspiration from nature can lead to efficient and reliable robotic systems, making her a notable figure in the growing field of bio-inspired robotics.
Research Focus
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Top Papers
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