Lingfeng Tao

According to our database, Lingfeng Tao authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Bi-directional Momentum-based Haptic Feedback and Control System for Dexterous Telemanipulation.

Haoyang Wang, Haoran Guo, He Ba, Zhengxiong Li, Lingfeng Tao

CoRR, 2024

Impact of Tactile Sensor Quantities and Placements on Learning-based Dexterous Manipulation.

Haoran Guo, Haoyang Wang, Zhengxiong Li, He Bai, Lingfeng Tao

CoRR, 2024

Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach.

Haoyang Wang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, Lingfeng Tao

CoRR, 2024

Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation.

Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng, Xiaoli Zhang

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

2023

Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward.

Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang

CoRR, 2023

A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation.

Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang

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

2022

Forming Real-World Human-Robot Cooperation for Tasks With General Goal.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

IEEE Robotics Autom. Lett., 2022

Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum.

Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang

J. Intell. Robotic Syst., 2022

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-Autonomous Telemanipulation.

Lingfeng Tao, Michael Bowman, Xu Zhou, Jiucai Zhang, Xiaoli Zhang

J. Intell. Robotic Syst., 2022

Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation.

Matthew Stanley, Yunsik Jung, Michael Bowman, Lingfeng Tao, Xiaoli Zhang

CoRR, 2022

Physics-Guided Hierarchical Reward Mechanism for LearningBased Multi-Finger Object Grasping.

Yunsik Jung, Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2022

Deep Reinforcement Learning with Adaptive Hierarchical Reward for MultiMulti-Phase Multi Multi-Objective Dexterous Manipulation.

Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang

CoRR, 2022

2021

Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Robust Motion Mapping Between Human and Humanoids Using CycleAutoencoder.

Matthew Stanley, Lingfeng Tao, Xiaoli Zhang

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

2020

Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2020

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation.

Lingfeng Tao, Michael Bowman, Xu Zhou, Xiaoli Zhang

CoRR, 2020

Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task.

Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang

CoRR, 2020

2018

Fault Diagnosis for an Automatic Shell Magazine Using FDA and ELM.

QiangQiang Zhao, Lingfeng Tao, Maosheng Li, Peng Hong

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018