Raunak Srivastav
Papers
1
Total Citations
3
H-Index
1
About
Raunak Srivastav is a roboticist whose research lies at the intersection of bio-inspired design, locomotion control, and optimization. His most cited work, "Bayesian Optimization Based Terrestrial Gait Tuning for a 12-DOF Alligator-Inspired Robot With Active Body Undulation" (2018, 3 citations), demonstrates his core contribution: systematically applying Bayesian optimization to tune gaits for a complex, multi-degree-of-freedom robot. By showing that active body undulation—typically associated with swimming—can enhance stability and efficiency on land, Srivastav provides a practical framework for adapting biological principles to robotic systems. This work not only advances the field of bio-inspired robotics but also offers a replicable methodology for optimizing gaits in other limb-and-body robots. Though early in his career, his focus on rigorous optimization and hardware implementation signals a promising trajectory in creating more agile, adaptable machines.
Research Focus
Key Achievements
Top Papers
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