M. Patidar

Papers

Total Citations

H-Index

About

M. Patidar is an emerging researcher in robotics and autonomous systems, with a focused interest in real-world simulation and obstacle avoidance technologies. Their most-cited work, "Real-World Simulation Through Obstacle Avoiding Robot" (2021), has garnered 3 citations and explores the practical implementation of autonomous navigation—a cornerstone of modern advancements like Tesla’s auto-drive systems. Patidar’s contributions lie in bridging simulation and real-world application, developing robots capable of independently detecting and evading obstacles, thereby advancing the frontier of self-driving and mobile robotics. While still early in their career, this work demonstrates a commitment to solving critical challenges in autonomous vehicle safety and efficiency. Patidar’s research aligns with the broader push toward intelligent, adaptive machines, offering foundational insights for students and engineers working on next-generation automation. As the field accelerates, Patidar’s focus on practical, simulation-driven design positions them as a contributor to the evolving landscape of robotics, where autonomous decision-making is key to future transportation and industrial systems.