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About

Dan Ding is a robotics researcher whose work spans robotic grasping, manipulation planning, and assistive robotics technologies. He is perhaps best known for his foundational contributions to the synthesis of three-dimensional form-closure grasps, where he developed a recursive reduction technique that elegantly transforms complex computational problems in 6D wrench space into more tractable three-dimensional formulations. This work, his most cited with 11 citations, laid important groundwork for enabling robotic fingers to achieve stable, constraint-satisfying grasps of arbitrary objects. Building on this foundation, Ding extended his research to grasp planning under kinematic constraints, addressing the practical challenge of ensuring that computed fingertip positions remain physically reachable by real robotic hands — a critical bridge between theory and application. His 2002 survey on multifingered robotic hand synthesis helped contextualize these challenges within the broader research community. More recently, Ding has pivoted toward human-centered robotics, contributing to standardized evaluation frameworks for assistive robotic manipulators and, most notably, exploring how large language models can automate control mode switching during teleoperation — work that underscores his commitment to making advanced robotics accessible to individuals with disabilities. His career reflects a thoughtful progression from fundamental manipulation theory toward socially impactful applications.