Xiaoge Cao
Papers
2
Total Citations
16
H-Index
2
About
Xiaoge Cao is a leading researcher in robotic manipulation, with a focus on intelligent grasping and object retrieval in cluttered, unstructured environments. Their work addresses the critical challenge of enabling robots to actively discover and pick specific targets—such as impurities on a production line—by synergizing pushing and grasping actions. In their highly cited 2022 paper, “Picking out the Impurities,” Cao introduced an attention-based push-grasping system that uses deep learning to identify and extract target objects from dense clutter, achieving 9 citations for its practical industrial applications. Building on this, their 2024 work, “PLOT,” advances the field by enabling one-shot target recognition from partial information (e.g., images or text descriptions), allowing robots to learn human-like push-grasping synergy with minimal data. With a total of 16 citations across these two key papers, Cao’s contributions are shaping the future of autonomous robotics in manufacturing and service settings. Their innovative approach to combining attention mechanisms with interactive manipulation has been recognized for its potential to automate labor-intensive tasks, making Cao a notable figure in the robotics community.
Research Focus
Key Achievements
Top Papers
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- 2