Papers
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5
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About
Andrew S. Page is a researcher whose work lies at the intersection of soft robotics and embedded sensing, with a particular focus on advancing the control and characterization of deformable robotic systems. His most notable contribution is the development of embedded infrared imaging techniques to measure the deformation of soft robotic actuators, a pioneering approach that enables closed-loop control of soft machine tables—industrial robots with computer-controlled, deformable surfaces designed to manipulate objects through shape changes. This work, published in 2016, has garnered 5 citations and addresses a critical gap in the field: the reliance on open-loop control for soft actuators, which limits precision and adaptability. By integrating real-time deformation sensing, Page’s research paves the way for more responsive and intelligent soft robotic systems. His contributions are particularly impactful for applications in manufacturing and material handling, where precise object manipulation is essential. Page’s innovative use of imaging to bridge sensing and actuation in soft robotics marks him as a key figure in advancing the practical deployment of these compliant machines.
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