Papers
3
Total Citations
111
H-Index
2
About
Kyle Gillespie is a robotics researcher whose work sits at the intersection of soft robotics, sensor design, and embodied perception. His most impactful contribution is a highly cited 2019 paper on design considerations for 3D-printed, soft, multimaterial resistive sensors for soft robotics, which has garnered over 100 citations and addresses the critical challenge of integrating flexible, functional sensing directly into deformable robotic structures. Gillespie’s research also extends to robotic perception and material interaction: he introduced the Surface Material Dataset for Robotics Applications (SMDRA), a unique resource pairing RGB-D data with pixel-wise friction coefficients across ten materials, enabling robots to better segment and physically understand their environment. In 2024, he was part of the championship-winning team in the RoboCup Adult-Sized Humanoid League, contributing to hardware, vision, and strategy. This achievement underscores his ability to translate fundamental sensor and perception research into competitive, real-world robotic performance. Gillespie’s work is notable for bridging the gap between novel soft sensor fabrication and the practical demands of autonomous, physically interactive robots.
Research Focus
Key Achievements
Top Papers
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