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About

Ning Ding is a rising roboticist whose work bridges the gap between intelligent manipulation and autonomous locomotion. His research spans demolition robotics, soft robotic modeling, and quadruped navigation, with a particular focus on enabling robots to operate safely and effectively in unstructured environments. Ding’s most impactful contribution to date is his work on the intelligent demolition robot, where he integrated structural statics, collision detection, and dynamic control to create a system capable of autonomous operation in hazardous demolition sites—a paper that has already garnered 25 citations since 2022. He also developed Pegasus-Mini, a small-scale quadruped robot that leverages vision-based navigation for robust locomotion, contributing to the rapidly advancing field of legged robotics. In parallel, Ding has explored modeling techniques for soft arms, surveying numerical, analytical, and data-driven approaches to address the challenges of high degrees of freedom and nonlinear behavior in compliant systems. His innovative CPQNet framework redefines robotic grasping by representing grasps through only two contact points, offering a more efficient alternative to traditional parameterization. With a growing citation footprint and a portfolio that spans both theory and application, Ning Ding is establishing himself as a versatile engineer shaping the future of autonomous, adaptive robotics.