Abhilash Srivastava

Jaypee University of Information Technology

Papers

Total Citations

H-Index

About

Abhilash Srivastava is a researcher in robotics and autonomous navigation, with a focus on path planning in dynamic, obstacle-rich environments. His most cited work, "Non holonomic shortest robot path planning in a dynamic environment using polygonal obstacles" (2010, 10 citations), introduces a collision-free navigation method for circular mobile robots, adaptable to car-like robots with turning radius constraints. This contribution addresses the challenge of real-time trajectory optimization amidst moving obstacles, bridging theoretical non-holonomic constraints with practical robotic applications. Srivastava’s research emphasizes efficient, shortest-path solutions that ensure safety and adaptability, making his work relevant for autonomous vehicles and mobile robotics. While his citation count reflects a niche but impactful contribution, his approach to integrating polygonal obstacle modeling with dynamic environments stands out for its clarity and applicability. Srivastava’s work is particularly valuable for students and engineers seeking foundational insights into motion planning under geometric and kinematic constraints, offering a stepping stone for further advances in autonomous navigation systems.