David Hinwood

Papers

Total Citations

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About

David Hinwood’s research lies at the intersection of human-robot interaction and robotic manipulation, with a particular focus on deformable objects and collaborative tasks. His most cited work, “A Proposed Wizard of OZ Architecture for a Human-Robot Collaborative Drawing Task” (2018, 15 citations), introduces a novel framework for studying intuitive human-robot teamwork, leveraging the Wizard of Oz paradigm to explore natural communication and shared control in creative contexts. This foundational contribution has informed subsequent studies on trust and coordination in collaborative robotics. Hinwood further advanced the field with “Towards the Design of a Human-Inspired Gripper for Textile Manipulation” (2020, 11 citations), where he tackled the challenging problem of handling deformable materials—a critical step toward integrating robots into domestic and industrial settings like laundry or garment handling. By drawing inspiration from human grasping strategies, this work offers practical insights for soft robotics and adaptive gripper design. With over 26 citations across his key publications, Hinwood’s research is shaping how robots perceive and interact with flexible, unpredictable environments, making him a notable voice in the next generation of human-centered robotics.