Jie Zhong

Papers

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About

Jie Zhong is a rising star in the field of multi-robot systems, with a focused expertise in geometric task-and-motion planning (GTAMP). Their research tackles the complex challenge of enabling multiple robots to collaboratively manipulate objects in cluttered environments, a critical capability for advanced manufacturing, logistics, and warehouse automation. Zhong’s major contribution lies in developing novel, computationally tractable approaches to what is known as multi-robot geometric task-and-motion planning (MR-GTAMP). Their most cited work, a 2023 paper on collaborative manipulation tasks, introduces a framework for synchronous, monotone operations where robots must move objects to goal regions while navigating around other movable obstacles. This work has garnered 12 citations, signaling its growing influence. A complementary 2022 paper, with 8 citations, further advances the field by proposing a Mixed-Integer Programming (MIP)-based solution to the same problem class, offering a rigorous optimization perspective. Together, these contributions establish Zhong as a key voice in making multi-robot coordination both theoretically sound and practically deployable, laying the groundwork for more intelligent and autonomous robotic teams.