Ritesh Chand

Papers

Total Citations

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About

Ritesh Chand’s research focuses on multi-robot navigation and landmark-based control systems, with a particular emphasis on improving autonomous movement in cluttered environments. His most cited work, "Landmarks as Navigation-Aids for Multiple Robots" (2020), introduces a novel metric for selecting landmarks as waypoints to guide car-like robots through workspaces filled with random obstacles. This contribution addresses critical challenges in coordinated multi-robot path planning, offering a scalable solution for real-world applications like warehouse automation and search-and-rescue operations. Chand also developed a Lyapunov-based control scheme for point-mass robots (2014), demonstrating how landmarks can enhance collision avoidance and target convergence—a foundational approach that bridges classical control theory with practical robotics. While his citation counts (5 and 2, respectively) reflect an emerging career, his work on landmark-aided navigation has laid groundwork for more efficient, decentralized robot coordination. Chand’s research is particularly valuable for students and engineers exploring how simple environmental cues can replace complex sensor systems, making autonomous navigation more accessible and robust in constrained spaces.