Neil Suttora

Colorado School of Mines, Beijing Institute of Technology

Papers

Total Citations

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About

Neil Suttora is a robotics researcher whose work spans rehabilitation technology, bio-inspired systems, and autonomous navigation in extreme environments. His most cited paper, "iRebot: An Interactive Rehabilitation Robot with Gesture Control" (2020, 4 citations), addresses a critical challenge in physical therapy: patient compliance. By integrating gesture-based control into a rehabilitation robot, Suttora aims to transform monotonous, costly therapy routines into engaging, cost-effective experiences that improve outcomes. In earlier work, he explored soft robotics through "Mechanism design and drive control of bionic robotic fish based on DEAP material" (2016, 2 citations), designing flexible joint actuators from dielectric electro-active polymers to mimic natural fish locomotion—a contribution to efficient, silent underwater propulsion. Suttora also tackles practical deployment hurdles in "Performance evaluation of wi-fi for underground robots" (2019, 2 citations), empirically characterizing wireless signal attenuation in subterranean environments to enable reliable communication for aerial-ground robot teams during mapping and search missions. Though his citation counts are modest, Suttora’s research demonstrates a clear trajectory: applying robotics to solve real-world problems in healthcare, environmental monitoring, and disaster response, with a strong emphasis on human-robot interaction and adaptive control.