Yan Wu

According to our database, Yan Wu authored at least 10 papers between 2019 and 2022.

Collaborative distances:

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

2022

A Framework of Robot Skill Learning From Complex and Long-Horizon Tasks.

Hongmin Wu, Wu Yan, Zhihao Xu, Taobo Cheng, Xuefeng Zhou

IEEE Trans Autom. Sci. Eng., 2022

A Framework of Improving Human Demonstration Efficiency for Goal-Directed Robot Skill Learning.

Hongmin Wu, Wu Yan, Zhihao Xu, Xuefeng Zhou

IEEE Trans. Cogn. Dev. Syst., 2022

Multimodal Prediction-Based Robot Abnormal Movement Identification Under Variable Time-length Experiences.

Hongmin Wu, Wu Yan, Zhihao Xu, Shuai Li, Taobo Cheng, Xuefeng Zhou

J. Intell. Robotic Syst., 2022

A Framework of Rehabilitation-assisted Robot Skill Representation, Learning, and Modulation via Manifold-Mappings and Gaussian Processes.

Hongmin Wu, Zhihao Xu, Wu Yan, Yangmin Ou, Zhaoyang Liao, Xuefeng Zhou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Learning robot anomaly recovery skills from multiple time-driven demonstrations.

Hongmin Wu, Wu Yan, Zhihao Xu, Shuai Li, Xuefeng Zhou

Neurocomputing, 2021

Robot Multimodal Anomaly Diagnosis by Learning Time-lagged Complex Dynamics.

Lin Yang, Wu Yan, Zhihao Xu, Hongmin Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Real Time Volume Measurement of Logistics Cartons Through 3D Point Cloud Segmentation.

Wu Yan, Chen Xu, Hongmin Wu, Shuai Li, Xuefeng Zhou

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020

Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking.

Wu Yan, Zhihao Xu, Xuefeng Zhou, Qianxin Su, Shuai Li, Hongmin Wu

IEEE Access, 2020

2019

Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties.

Zhihao Xu, Shuai Li, Xuefeng Zhou, Wu Yan, Taobo Cheng, Dan Huang

Neurocomputing, 2019

Incremental Learning Introspective Movement Primitives From Multimodal Unstructured Demonstrations.

Hongmin Wu, Zhihao Xu, Wu Yan, Qianxin Su, Shuai Li, Taobo Cheng, Xuefeng Zhou

IEEE Access, 2019