Papers
1
Total Citations
5
H-Index
1
About
Shijun Yan is a robotics researcher whose work focuses on intelligent manipulation in cluttered and unstructured environments, with a particular emphasis on the synergy between pushing and grasping actions. His research addresses a critical challenge in robotic manipulation: how to effectively handle large clusters of objects where items are densely packed or stacked, making simple grasping infeasible. In his most cited work, "A Minimal Collision Strategy of Synergy Between Pushing and Grasping for Large Clusters of Objects" (2023), Yan proposes a novel strategy that combines pushing actions to reconfigure object arrangements before grasping, minimizing collisions and enabling efficient object retrieval in complex scenarios. This contribution has garnered attention in the robotics community, with 5 citations to date, and represents an important step toward more robust and adaptive robotic systems for real-world applications such as warehouse automation and domestic service. Yan’s work bridges the gap between theoretical motion planning and practical manipulation, offering insights that are valuable for researchers and engineers developing robots capable of operating in highly cluttered environments.
Research Focus
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Top Papers
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