Krishna Prakash Yadav
National Institute of Technology Warangal, GITAM University, Indian Institute of Technology Hyderabad
Papers
3
Total Citations
8
H-Index
2
About
Krishna Prakash Yadav is a researcher in the field of bipedal robotics, with a primary focus on dynamic walking, balance control, and trajectory optimization for underactuated legged systems. His work addresses fundamental challenges in making biped robots walk stably and robustly, even under fault conditions. A key contribution is his investigation of fault scenarios in dynamic walkers, where he analyzes the robot’s behavior when one or more joints fail during a gait cycle, providing critical insights for fail-safe locomotion. Yadav also employs reinforcement learning to achieve single-leg balance control, demonstrating how model-free approaches can stabilize underactuated bipeds. Additionally, he has applied genetic algorithms to optimize walking trajectories for a three-link biped, using PD feedback control to achieve limit-cycle walking. While his citation counts are currently modest (3 citations for his top papers), his work is foundational and timely, addressing emerging needs in robust and adaptive legged locomotion. His research is particularly relevant for students and engineers interested in the intersection of control theory, optimization, and machine learning for robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3