Papers
14
Total Citations
288
H-Index
6
About
Anxing Xiao is a robotics researcher whose work spans autonomous navigation, human-robot interaction, and robot perception, with a particular focus on developing intelligent systems that operate effectively in complex, real-world environments. He is perhaps best known for his pioneering contributions to assistive robotics for the visually impaired, including the influential "Robotic Guide Dog" (2021, 102 citations), which introduced a leash-guided quadrupedal platform capable of physically navigating humans through cluttered spaces — a significant departure from bulky wheeled predecessors. His comfort-aware quadruped guidance framework (2023, 45 citations) further advanced the field by explicitly modeling human behavioral responses. Xiao has also made substantial contributions to outdoor robot navigation, with his PUTN plane-fitting framework (2022, 75 citations) addressing the persistent challenge of traversing uneven, unstructured terrain. His research extends into mobile manipulation, multi-robot coordination, tactile-language models for physical reasoning, and socially aware navigation using large multimodal models. Collectively, his published work has accumulated over 280 citations, reflecting his growing influence across multiple robotics subfields. Xiao's research stands out for its strong emphasis on bridging theoretical rigor with practical, human-centered applications.
Research Focus
Key Achievements
Top Papers
- 1Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction102 citations · 2021
- 2PUTN: A Plane-fitting based Uneven Terrain Navigation Framework75 citations · 2022
- 3Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach45 citations · 2023
- 4Octopi: Object Property Reasoning with Large Tactile-Language Models21 citations · 2024
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- 9PUTN: A Plane-fitting based Uneven Terrain Navigation Framework3 citations · 2022
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