Dhruv Ashwinkumar Thanki
Papers
1
Total Citations
2
H-Index
1
About
Dhruv Ashwinkumar Thanki is a robotics researcher whose work lies at the intersection of control theory, motion planning, and dynamic locomotion for legged systems. His primary research focuses on developing reactive planning algorithms that enable bipedal robots to navigate complex, dynamic environments with agility and safety. Thanki’s most cited paper, “A Sequential MPC Approach to Reactive Planning for Bipedal Robots” (2022), introduces a novel sequential Model Predictive Control framework that decomposes free space into ordered, intersecting obstacle-free polytopes. This approach allows robots to generate real-time, collision-free trajectories while maintaining stability and responsiveness to environmental changes—a critical challenge in humanoid robotics. Though early in his career, his work has already garnered attention for its practical elegance, bridging the gap between theoretical optimization and real-world deployment. By integrating sequential polytopic decomposition with MPC, Thanki provides a scalable solution for bipedal locomotion in cluttered settings, a contribution that holds promise for applications in search-and-rescue, industrial automation, and assistive robotics. His research continues to push the boundaries of reactive planning, establishing him as an emerging voice in the field of dynamic legged locomotion.
Research Focus
Key Achievements
Top Papers
- 1A Sequential MPC Approach to Reactive Planning for Bipedal Robots2 citations · 2022