Gurdayal S. Koonjul

General Motors (United States), Carnegie Mellon University, General Electric (United States)

Papers

Total Citations

H-Index

About

Gurdayal S. Koonjul is a roboticist whose work lies at the intersection of dexterous manipulation, compliant actuation, and real-time grasping. His research addresses a fundamental challenge in industrial robotics: enabling multi-fingered hands to grasp diverse parts with the speed and reliability required for bin-picking and kitting. In his most cited work (31 citations), Koonjul presents a real-time grasp planning framework that unlocks the dexterity of complex robotic hands—offering a compelling alternative to traditional parallel grippers. He further innovates in the domain of compliant robots, demonstrating that passive joint displacements during collisions can be used to infer contact points, a technique with significant implications for safe human-robot interaction. By showing that displacement data alone is sufficient for coarse contact localization, his 2011 paper (17 citations) provides a cost-effective method for improving robot awareness. Koonjul’s contributions are particularly valuable for manufacturing environments where adaptability and safety are paramount. His work bridges the gap between theoretical grasp planning and practical, real-time applications, making him a notable figure in the advancement of intelligent, compliant robotic systems for industry.