Michael J. Bennington

Carnegie Mellon University, University of Pittsburgh

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Total Citations

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About

Michael J. Bennington is a rising star in the field of soft robotics and bio-inspired actuation. His research centers on developing novel, controllable soft robotic systems by drawing inspiration from biological organisms and advancing the fundamental understanding of pneumatic artificial muscles. Bennington’s major contributions include the creation of SLUGBOT, an *Aplysia*-inspired robotic grasper that uses a soft, deformable structure to study control strategies in grasping, demonstrating a novel approach to bio-mimetic manipulation. His most impactful work to date, with 6 citations, this project highlights his ability to bridge biology and engineering. In parallel, Bennington has made critical strides in characterizing the dynamic properties of McKibben actuators. His 2023 paper on viscoelastic McKibben actuators, which has already garnered 3 citations, provides the first detailed analysis of their force-velocity and damping characteristics—properties essential for precise, high-performance control in soft robotics. By moving beyond static models, his work enables more robust and predictable actuation, directly impacting the design of next-generation soft robots for medical, industrial, and exploration applications. Bennington’s research is foundational for engineers seeking to harness the full potential of soft, compliant systems.