Arnab Maity

Papers

Total Citations

H-Index

About

Arnab Maity is a robotics researcher whose work centers on the autonomous navigation and path planning of mobile robots, with a particular focus on non-holonomic systems. His most cited paper, "Optimal path planning for a non-holonomic robot using interval analysis" (2018, 5 citations), addresses the fundamental challenge of steering robots through cluttered environments. Maity’s key contribution lies in applying interval analysis to configuration space methods, enabling the precise identification of feasible and non-feasible areas while accounting for admissible control inputs. This approach allows for the generation of optimal, collision-free paths in complex settings, a critical advance for autonomous systems operating in real-world, unpredictable spaces. Though his citation count is modest, his work is foundational for researchers tackling the intersection of computational geometry and robot motion planning. Maity’s research is particularly valuable for students and engineers developing autonomous vehicles, service robots, or industrial automation, as it provides a rigorous mathematical framework for solving the non-holonomic path planning problem—a persistent bottleneck in robotics. His contributions underscore the importance of robust, deterministic methods in an era increasingly reliant on probabilistic or learning-based approaches.