My research interests lie in developing both general-purpose algorithms and specialized autonomous systems for service robots, including planning, human-robot interaction, and service robot design. I aim to bridge the gap between robotics research and its real-world applications in socially aware scenarios.
My long-term research goal is to develop deployable service robotic systems capable of operating in open-world environments. I define the open world as one characterized by (1) natural and unconstrained human behavior, (2) incomplete environmental knowledge at both the semantic and geometric levels, and (3) unknown environmental structures populated with novel objects.
To tackle the challenges of open-world operation, I adopt the system design grounded in compositionality and modularity. I explore structured representations that link semantic concepts with their grounding in the physical world. At the low level, I develop robust navigation and manipulation systems that passively tolerate unforeseen objects and environments in a passive manner. At the high level, I design systems and algorithms that actively expand the robot's representations and models. I also incorporate human presence to interact with both high-level and low-level representations.
IEEE Robotics and Automation Letters (RA-L) 2025.
Shangyi Luo, Peng Sun, Ji Zhu, Yuhong Deng, Cunjun Yu, Anxing Xiao (Mentor), Xueqian Wang
TL;DR:
Group-based social navigation framework using large multimodal models for socially-aware robot navigation.
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IEEE International Conference on Robotics and Automation (ICRA) 2025.
Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu
TL;DR:
The robot should be able to understand and execute multimodal instructions that combine language and gesture.
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IEEE International Conference on Robotics and Automation (ICRA) 2023.
Yanbo Chen, Zhengzhe Xu, Zhuozhu Jian, Gengpan Tang, Yunong Yangli, Anxing Xiao (Mentor), Xueqian Wang, Bin Liang
TL;DR:
Comfort-based guidance robot system that safely guides visually impaired users through complex environments.
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IEEE International Conference on Robotics and Automation (ICRA) 2021.
Anxing Xiao*, Wenzhe Tong*, Lizhi Yang*, Jun Zeng, Zhongyu Li, Koushil Sreenath
This paper was the ICRA Best Paper Award Finalist for Service Robotics.
TL;DR:
The world's first robotic guide dog that can lead visually impaired to safely travel in a confined space.
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Robotics: Science and Systems (RSS) 2024.
Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, and Harold Soh
TL;DR:
Combining tactile perception with language enables robots to understand physical properties through interaction.
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