Wenlong Xiong
Papers
1
Total Citations
49
H-Index
1
About
Wenlong Xiong is a robotics researcher whose work bridges the gap between human demonstration and autonomous robot execution. His key research areas include robot learning, knowledge representation, and hierarchical task planning. Xiong’s most significant contribution is the development of a spatial, temporal, and causal And-Or graph framework, a stochastic graph-based model that unifies knowledge representation and action planning within a single hierarchical structure. This innovative approach allows robots to learn complex tasks from human demonstrations, understand the underlying causal and temporal dependencies, and then perform those tasks with feedback control. His 2016 paper on this framework, which has garnered 49 citations, demonstrates a foundational step toward more intelligent and adaptable robots. By enabling robots to expand their understanding of tasks across spatial, temporal, and causal dimensions, Xiong’s work has laid important groundwork for advancing human-robot interaction and autonomous manipulation, making him a notable contributor to the field of robot learning.
Research Focus
Key Achievements
Top Papers
- 1Robot learning with a spatial, temporal, and causal and-or graph49 citations · 2016