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About

Amir Pagoli is a leading researcher in soft robotics, with a focus on dexterous manipulation, tactile sensing, and adaptive grasping. His work centers on developing innovative, low-cost robotic systems that combine flexibility with robust performance. A key contribution is his design of a soft robotic gripper featuring an active palm and reconfigurable fingers, which achieves fully dexterous in-hand manipulation without increasing mechanical complexity (78 citations). He also pioneered a large-area, low-cost capacitive force/tactile sensor, highly flexible and easy to fabricate, making it ideal for soft robotic applications (51 citations). To address the challenge of grasping diverse objects, Pagoli developed a variable stiffness gripper using magnetorheological fluids, enabling reliable and robust gripping (19 citations). Additionally, his optimized design of a dexterous robotic finger—incorporating sliding, rotating, and soft-bending mechanisms—maximizes dexterity while minimizing dimensions (18 citations). Pagoli’s work is notable for bridging the gap between soft robotics’ inherent compliance and the need for precise, reliable manipulation, with his sensors and grippers advancing practical applications in automation and assistive technology.