Dhawal Gupta
Papers
1
Total Citations
3
H-Index
1
About
Dhawal Gupta is a roboticist whose work bridges bio-inspired design and intelligent control, with a focus on amphibious locomotion. His key research areas include bio-inspired robotics, locomotion control, and optimization for robotic systems. A standout contribution is his work on the 12-DOF alligator-inspired robot, where he demonstrated that active body undulation—critical for swimming—also enhances stability during terrestrial gait. By employing Bayesian optimization to tune the robot’s gait, Gupta advanced the practical integration of biological principles into robotic hardware, showing how multi-modal locomotion can be achieved through data-driven tuning. His paper on this topic has garnered 3 citations, reflecting its niche but foundational impact in the field of bio-inspired robotics. Gupta’s work is notable for its hands-on approach, combining mechanical design, control theory, and optimization to solve real-world locomotion challenges. For students and researchers, his research offers a compelling case study in how nature-inspired mechanisms can be systematically optimized for robotic performance, particularly in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1