Gregory M. Campbell

Papers

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About

Gregory M. Campbell is a leading researcher in soft robotics, with a focus on integrating advanced sensing and actuation mechanisms to enhance robotic manipulation. His work centers on multimodal perception, particularly the fusion of vision and touch, to improve robots' ability to handle delicate and complex objects during critical manipulation tasks. Campbell's most-cited paper, "Multimodal Proximity and Visuotactile Sensing With a Selectively Transmissive Soft Membrane" (2022, 19 citations), introduces a novel sensor that combines global visual data with localized tactile feedback, addressing a key gap in robotic perception. Another notable contribution, "Electroadhesive Clutches for Programmable Shape Morphing of Soft Actuators" (2022, 10 citations), demonstrates how integrating stiff materials with soft actuators can increase force capacity and enable precise deformation control. This work has significant implications for creating safer, more adaptable robots for applications ranging from manufacturing to healthcare. Campbell's research is widely recognized for its innovative approach to bridging the gap between soft and rigid robotics, offering practical solutions for real-world manipulation challenges.