Ian Good

Papers

Total Citations

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About

Ian Good is a rising researcher at the intersection of robotics, computational design, and soft mechanisms. His work focuses on expanding the design space for robot end effectors and continuum structures, with a particular emphasis on passive and electrically-driven systems. Good’s most cited paper, "Computational design of passive grippers" (2022, 12 citations), introduces a generative design tool for passive grippers—robot end effectors that exploit a robotic arm’s existing degrees of freedom to grasp objects without additional actuation. This work highlights the trade-offs between simplicity and functionality in grasping tasks. He is also a leading voice on Handed Shearing Auxetics (HSA), a novel structure for motor-driven soft robots that convert rotation into extension. His papers "Expanding the Design Space for Electrically-Driven Soft Robots Through Handed Shearing Auxetics" (2022, 10 citations) and "Kinematic Modeling of Handed Shearing Auxetics via Piecewise Constant Curvature" (2022, 7 citations) address key challenges in modeling and controlling these compliant structures, paving the way for applications in inspection and solar tracking. Good’s contributions are foundational for engineers seeking to design lightweight, adaptable robots with minimal actuation complexity.