Xiangtong Yao

According to our database, Xiangtong Yao authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data.

Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll

IEEE Robotics Autom. Lett., November, 2024

Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement Learning.

Xinhui Shan, Yuhong Huang, Zhenshan Bing, Zitao Zhang, Xiangtong Yao, Kai Huang, Alois Knoll

CoRR, 2024

Online Efficient Safety-Critical Control for Mobile Robots in Unknown Dynamic Multi-Obstacle Environments.

Yu Zhang, Guangyao Tian, Long Wen, Xiangtong Yao, Liding Zhang, Zhenshan Bing, Wei He, Alois Knoll

CoRR, 2024

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models.

Yu Zhang, Long Wen, Xiangtong Yao, Zhenshan Bing, Linghuan Kong, Wei He, Alois Knoll

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving.

Genghang Zhuang, Zhenshan Bing, Xiangtong Yao, Yuhong Huang, Kai Huang, Alois Knoll

IEEE Trans. Intell. Transp. Syst., August, 2023

Language-conditioned Learning for Robotic Manipulation: A Survey.

Hongkuan Zhou, Xiangtong Yao, Yuan Meng, Siming Sun, Zhenshan Bing, Kai Huang, Alois Knoll

CoRR, 2023

Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor.

Zhenshan Bing, Aleksandr Mavrichev, Sicong Shen, Xiangtong Yao, Kejia Chen, Kai Huang, Alois C. Knoll

CoRR, 2023

An Energy-Efficient Lane-Keeping System Using 3D LiDAR Based on Spiking Neural Network.

Genghang Zhuang, Zhenshan Bing, Zhen Zhou, Xiangtong Yao, Yuhong Huang, Kai Huang, Alois Knoll

IROS, 2023

Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions.

Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois Knoll

IROS, 2023

Meta-Reinforcement Learning via Language Instructions.

Zhenshan Bing, Alexander W. Koch, Xiangtong Yao, Kai Huang, Alois Knoll

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning.

Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Kai Huang, Hang Su, Chenguang Yang, Alois Knoll

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions.

Xiangtong Yao, Zhenshan Bing, Genghang Zhuang, Kejia Chen, Hongkuan Zhou, Kai Huang, Alois C. Knoll

CoRR, 2022

2021

Lidar-Based Stable Navigable Region Detection for Unmanned Surface Vehicles.

Yunxiao Shan, Xiangtong Yao, Hongquan Lin, Xuesong Zou, Kai Huang

IEEE Trans. Instrum. Meas., 2021

2019

An Adaptive Path Tracking Controller Based on Reinforcement Learning with Urban Driving Application.

Longsheng Chen, Yuanpeng Chen, Xiangtong Yao, Yunxiao Shan, Long Chen

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

LiDAR Based Navigable Region Detection for Unmanned Surface Vehicles.

Xiangtong Yao, Yunxiao Shan, Jieling Li, Donghui Ma, Kai Huang

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019