Chetan Swarup

Papers

Total Citations

H-Index

About

Chetan Swarup is a researcher whose work centers on robotics and autonomous navigation, with a particular focus on optimizing robot path planning through intelligent obstacle detection. His most-cited contribution, "Early Detection of Obstacle to Optimize the Robot Path Planning" (2022), addresses a fundamental challenge in robotics: efficiently navigating dynamic environments. By proposing a method for early obstacle identification within a robot’s workspace, Swarup’s work enables more proactive route optimization, reducing computational overhead and improving real-time decision-making for autonomous systems. This research, which has garnered 6 citations, lays important groundwork for safer and more efficient robotic applications in fields ranging from industrial automation to service robotics. Swarup’s contributions are especially valuable for students and engineers seeking to understand how predictive sensing can enhance robot autonomy, offering a practical approach to one of robotics’ core problems. His work underscores the growing importance of integrating early detection mechanisms into path planning algorithms, a key step toward more responsive and adaptable robotic systems.