Yansong Wu

According to our database, Yansong Wu authored at least 16 papers between 2017 and 2025.

Collaborative distances:

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

2025

Video-to-BT: Generating Reactive Behavior Trees from Human Demonstration Videos for Robotic Assembly.

Xiwei Zhao, Yiwei Wang, Yansong Wu, Fan Wu, Teng Sun, Zhonghua Miao, Sami Haddadin, Alois Knoll

CoRR, September, 2025

Pretrained Bayesian Non-parametric Knowledge Prior in Robotic Long-Horizon Reinforcement Learning.

Yuan Meng, Xiangtong Yao, Kejia Chen, Yansong Wu, Liding Zhang, Zhenshan Bing, Alois Knoll

CoRR, March, 2025

SharedAssembly: A Data Collection Approach via Shared Tele-Assembly.

Yansong Wu, Xiao Chen, Yu Chen, Hamid Sadeghian, Fan Wu, Zhenshan Bing, Sami Haddadin, Alexander König, Alois Knoll

CoRR, March, 2025

Direction Informed Trees (DIT*): Optimal Path Planning via Direction Filter and Direction Cost Heuristic.

Liding Zhang, Kejia Chen, Kuanqi Cai, Yu Zhang, Yixuan Dang, Yansong Wu, Zhenshan Bing, Fan Wu, Sami Haddadin, Alois Knoll

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

TacDiffusion: Force-Domain Diffusion Policy for Precise Tactile Manipulation.

Yansong Wu, Zongxie Chen, Fan Wu, Lingyun Chen, Liding Zhang, Zhenshan Bing, Abdalla Swikir, Sami Haddadin, Alois Knoll

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

LLM-as-BT-Planner: Leveraging LLMs for Behavior Tree Generation in Robot Task Planning.

Jicong Ao, Fan Wu, Yansong Wu, Abdalla Swikir, Sami Haddadin

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Behavior Tree Generation using Large Language Models for Sequential Manipulation Planning with Human Instructions and Feedback.

Jicong Ao, Yansong Wu, Fan Wu, Sami Haddadin

CoRR, 2024

Tactile-Morph Skills: Energy-Based Control Meets Data-Driven Learning.

Anran Zhang, Kübra Karacan, Hamid Sadeghian, Yansong Wu, Fan Wu, Sami Haddadin

CoRR, 2024

Ontology Based AI Planning and Scheduling for Robotic Assembly.

Jingyun Zhao, Birgit Vogel-Heuser, Jicong Ao, Yansong Wu, Liding Zhang, Fandi Hartl, Dominik Hujo, Zhenshan Bing, Fan Wu, Alois Knoll, Sami Haddadin, Bernd Vojanec, Timo Markert, André Kraft

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Scalable Platform for Robot Learning and Physical Skill Data Collection.

Samuel Schneider, Yansong Wu, Lars Johannsmeier, Fan Wu, Sami Haddadin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

1 kHz Behavior Tree for Self-adaptable Tactile Insertion.

Yansong Wu, Fan Wu, Lingyun Chen, Kejia Chen, Samuel Schneider, Lars Johannsmeier, Zhenshan Bing, Fares J. Abu-Dakka, Alois Knoll, Sami Haddadin

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

Real-time Contact State Estimation in Shape Control of Deformable Linear Objects under Small Environmental Constraints.

Kejia Chen, Zhenshan Bing, Yansong Wu, Fan Wu, Liding Zhang, Sami Haddadin, Alois Knoll

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

2023

Human Robot Interaction with Triboelectric Nanogenerator for Tactile Sensing.

Chenxing Li, Yansong Wu, Yinlong Liu, Fabian Schreier, Zhenshan Bing, Alois C. Knoll, Shahram Eivazi

Proceedings of the 9th International Conference on Mechatronics and Robotics Engineering, 2023

2021

Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks.

Yunlei Shi, Zhaopeng Chen, Lin Cong, Yansong Wu, Martin Craiu-Müller, Chengjie Yuan, Chunyang Chang, Lei Zhang, Jianwei Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks.

Yunlei Shi, Zhaopeng Chen, Yansong Wu, Dimitri Henkel, Sebastian Riedel, Hongxu Liu, Qian Feng, Jianwei Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2017

Understanding the value of considering client usage context in package cohesion for fault-proneness prediction.

Yangyang Zhao, Yibiao Yang, Hongmin Lu, Jinping Liu, Hareton Leung, Yansong Wu, Yuming Zhou, Baowen Xu

Autom. Softw. Eng., 2017