Ishan Singh Mann

Papers

Total Citations

H-Index

About

Ishan Singh Mann is a robotics researcher whose work centers on soft robotics, compliant mechanisms, and adaptive gripping technologies. He is best known for his innovative contributions to variable stiffness robotic systems, particularly his development of a novel compliant robotic gripper that integrates layer jamming to dynamically control finger stiffness. In this landmark design, shape morphing is achieved through cable-driven actuation while layer jamming enables on-demand stiffness variation — a combination that makes the gripper exceptionally versatile for delicate and complex grasping tasks. This work, which has accumulated nearly 90 citations across its 2019 and 2020 publications, represents a meaningful advance in bridging the gap between rigid industrial grippers and fully soft robotic end-effectors. The inherent flexibility of his gripper design makes it particularly well-suited for human-robot interaction and handling irregularly shaped or fragile objects. Mann's research contributes to the growing field of soft robotics by demonstrating how jamming-based stiffness tuning can be practically implemented in multi-fingered gripper architectures, offering a compelling blueprint for next-generation adaptive manipulation systems.