Papers
1
Total Citations
3
H-Index
1
About
Biao Xie is a roboticist whose research focuses on advancing autonomous manipulation, particularly in the domains of object placement and semantic understanding. His work addresses the critical gap between object picking and placement, a challenge highlighted by competitions like the Amazon Picking and Robotics Challenge. A key contribution is his development of pose-aware placement strategies that leverage semantic labels, such as brand names, to predict an object's affordance and optimal orientation. This approach, demonstrated in his 2019 paper on cooperative dual-arm active manipulation, enables robots to place objects in a human-intuitive and functional manner by reading machine-readable pieces on items. While his most-cited work has garnered 3 citations, reflecting a specialized niche, his research has practical implications for warehouse automation and domestic robotics. By integrating semantic reasoning with physical manipulation, Xie is helping to create more intelligent and adaptable robotic systems that can operate effectively in unstructured environments.
Research Focus
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Top Papers
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