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About

Chetan Jalendra is a researcher specializing in robotics and automation, with a primary focus on vibration suppression strategies for robot-assisted assembly operations. His work addresses critical challenges in industrial robotics, particularly the residual vibrations induced in objects during high-speed assembly tasks. Jalendra’s major contributions include developing vision sensor-based control strategies to suppress residual vibrations in both non-deformable and flexible objects, such as metal strips and beams, enhancing precision in peg-in-hole assembly tasks. His research integrates external controllers with robot internal systems to mitigate transient disturbances without interrupting operations, improving productivity and assembly quality. With a cumulative citation count exceeding 28 across his most-cited papers, his impact is evident in advancing robotic assembly for complex, high-precision manufacturing. Notably, his 2022 paper on vision sensor-based vibration suppression for non-deformable objects has garnered 15 citations, highlighting its relevance. Jalendra’s work is pivotal for industries seeking to deploy robots for delicate assembly tasks, bridging the gap between rigid and flexible object handling.