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About

Prabir Pal is a robotics researcher whose work spans intelligent robotic assembly, force/position control, haptic-based teleoperation, and human-robot interaction. His most significant contribution lies in advancing Peg-In-Hole assembly strategies, a foundational benchmark in force-controlled robotics. His 2013 paper on intelligent and environment-independent search strategies for cylindrical Peg-In-Hole tasks, which has garnered 31 citations, introduced adaptive approaches that reduce reliance on prior environmental knowledge — a meaningful step toward more autonomous robotic assembly systems. Pal has also made notable contributions to master-slave manipulation, investigating how motion mappings between compact haptic devices and industrial robots can be optimized for effective remote control. His work on indirect-hybrid force/position control addresses precision challenges in surface-following tasks such as polishing and deburring, enabling robots to maintain consistent contact force while navigating unknown contours using position-controlled hardware. Additionally, his research on telemanipulation with delayed video feedback tackles the practical communication constraints that affect real-world remote robotic operations. Together, these contributions reflect a coherent research vision focused on making industrial robots smarter, more adaptable, and more accessible to human operators in complex, real-world environments — a body of work valuable to students exploring applied robotics and intelligent manufacturing systems.