Apoorva

Indian Institute of Information Technology Allahabad

Papers

Total Citations

H-Index

About

Apoorva is a robotics researcher whose work bridges foundational motion planning and advanced continuum robot control. Her key research areas include multi-robot coordination, path planning algorithms, and sliding-mode control for flexible robotic systems. In her most cited work, "Motion Planning for a Chain of Mobile Robots Using A* and Potential Field" (2018, 17 citations), Apoorva addresses the growing need for coordinated multi-robot teams by integrating A* search with potential field methods—a novel approach that enables a chain of robots to navigate complex environments collaboratively. This contribution is particularly impactful for applications like search-and-rescue or industrial automation, where single-robot solutions fall short. Earlier, in "A New Approach to Extensible Continuum Robot Control Using the Sliding-Mode" (2011, 10 citations), she tackled the challenge of controlling highly flexible, snake-like robots, introducing robust sliding-mode techniques to handle their nonlinear dynamics. This work laid groundwork for safer, more precise manipulation in constrained spaces. With a total of 27 citations across her top papers, Apoorva’s research demonstrates both theoretical depth and practical relevance, making her a notable figure in advancing autonomous multi-robot systems and continuum robotics.