Tao Xiong
Papers
1
Total Citations
3
H-Index
1
About
Tao Xiong is a researcher in robotics and intelligent systems, with a primary focus on geometric reasoning and autonomous manipulation for service robots. His key contributions center on developing frameworks that enable robots to infer spatial relationships in cluttered environments, a critical challenge for orderly grasping in home settings. His most cited work, "A geometric inference framework based on physical blocks for ordered grasping robots in clutter" (2021), addresses the problem of robots inadvertently damaging objects by ignoring vertical spatial relationships. By proposing a geometric inference model that extracts reasonable up-down configurations from cluttered scenes, Xiong’s research enhances the safety and efficiency of robotic grasping, laying groundwork for more intelligent home service robots. With 3 citations to date, this work is gaining traction in the robotics community. Xiong’s research bridges computer vision and manipulation, offering practical solutions for real-world applications. His achievements reflect a commitment to advancing autonomous systems that interact seamlessly with human environments, making him a notable contributor to the field of robotic perception and control.
Research Focus
Key Achievements
Top Papers
- 1