Sidharth Sharma
Papers
2
Total Citations
59
H-Index
2
About
Sidharth Sharma is a leading researcher in robotics, specializing in autonomous navigation and motion planning for complex, cluttered environments. His work focuses on developing efficient, real-time algorithms that enable mobile robots and manipulators to operate at the edge, a critical requirement for extended autonomous missions. Sharma’s most influential contribution is the Kinematic Constraints Based Bi-directional RRT (KB-RRT) algorithm, which integrates parameterized trajectories to achieve optimal, smooth path planning. This work, cited 45 times, directly addresses the challenge of navigating through tight spaces while respecting a robot’s physical limitations. He has also advanced parallel Cartesian planning for redundant robot arms, creating pre-computed roadmaps that account for static obstacles and singular configurations, allowing for rapid, collision-free trajectory generation in dynamic environments. By tackling the core trade-off between computational efficiency and path optimality, Sharma’s research provides foundational solutions for real-world robotic applications, from warehouse automation to field robotics, making him a notable figure in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2