Pratish Prakash

Papers

Total Citations

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About

Pratish Prakash is a robotics researcher whose work centers on autonomous navigation and intelligent control systems. His most cited paper, "Maze Solving Robot with Automated Obstacle Avoidance" (2017, 33 citations), addresses a fundamental challenge in mobile robotics: enabling machines to navigate complex, dynamic environments without human intervention. Prakash’s contribution lies in designing efficient algorithms that allow robots to simultaneously solve pathfinding problems and avoid obstacles in real time—a critical capability for applications ranging from warehouse logistics to search-and-rescue operations. By integrating sensor feedback with decision-making logic, his approach improves both speed and reliability in autonomous movement. Though his citation count reflects a focused, early-career impact, the work has practical significance: it demonstrates how low-cost, accessible platforms can implement sophisticated navigation, making robotics research more reproducible and scalable. Prakash’s findings are particularly relevant for students and engineers developing entry-level autonomous systems, as his paper provides a clear framework for combining maze-solving heuristics with reactive obstacle avoidance. His research underscores the growing importance of robust, real-time control in bringing intelligent machines from the lab into everyday use.