Fault Diagnosis for an Automatic Shell Magazine Using FDA and ELM. - QiangQiang Zhao; Lingfeng Tao; Maosheng Li; Peng Hong (ADMA, 2018)

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 002 (CoRR, 2020)

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation. - Lingfeng Tao; Michael Bowman; Xu Zhou; Xiaoli Zhang 002 (CoRR, 2020)

Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning. - Lingfeng Tao; Michael Bowman; Jiucai Zhang; Xiaoli Zhang 002 (CoRR, 2020)

Robust Motion Mapping Between Human and Humanoids Using CycleAutoencoder. - Matthew Stanley; Lingfeng Tao; Xiaoli Zhang 002 (ROBIO, 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 002 (SMC, 2021)

Deep Reinforcement Learning with Adaptive Hierarchical Reward for MultiMulti-Phase Multi Multi-Objective Dexterous Manipulation. - Lingfeng Tao; Jiucai Zhang; Xiaoli Zhang 002 (CoRR, 2022)

Physics-Guided Hierarchical Reward Mechanism for LearningBased Multi-Finger Object Grasping. - Yunsik Jung; Lingfeng Tao; Michael Bowman; Jiucai Zhang; Xiaoli Zhang 002 (CoRR, 2022)

Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation. - Matthew Stanley; Yunsik Jung; Michael Bowman; Lingfeng Tao; Xiaoli Zhang 002 (CoRR, 2022)

Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-Autonomous Telemanipulation. - Lingfeng Tao; Michael Bowman; Xu Zhou; Jiucai Zhang; Xiaoli Zhang 002 (J. Intell. Robotic Syst., 2022)

Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum. - Lingfeng Tao; Jiucai Zhang; Xiaoli Zhang 002 (J. Intell. Robotic Syst., 2022)

Forming Real-World Human-Robot Cooperation for Tasks With General Goal. - Lingfeng Tao; Michael Bowman; Jiucai Zhang; Xiaoli Zhang 002 (IEEE Robotics Autom. Lett., 2022)

A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation. - Lingfeng Tao; Jiucai Zhang; Michael Bowman; Xiaoli Zhang 002 (ICRA, 2023)

Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward. - Lingfeng Tao; Jiucai Zhang; Xiaoli Zhang 002 (CoRR, 2023)

Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation. - Lingfeng Tao; Jiucai Zhang; Qiaojie Zheng; Xiaoli Zhang 002 (ICRA, 2024)

Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. - Haoyang Wang; He Bai 001; Xiaoli Zhang; Yunsik Jung; Michel Bowman; Lingfeng Tao (IROS, 2024)

Impact of Tactile Sensor Quantities and Placements on Learning-based Dexterous Manipulation. - Haoran Guo; Haoyang Wang; Zhengxiong Li; He Bai 001; Lingfeng Tao (CoRR, 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)

Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection. - Haoran Guo; Haoyang Wang; Zhengxiong Li; Lingfeng Tao (CoRR, 2025)

Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking. - Haoyang Wang; Haoran Guo; Lingfeng Tao; Zhengxiong Li (CoRR, 2025)

Stable In-Hand Manipulation With Finger-Specific Multi-Agent Shadow Critic Consensus and Information Sharing. - Lingfeng Tao; Jiucai Zhang; Xiaoli Zhang 002 (IEEE Robotics Autom. Lett., 2025)

Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk. - Xinmin Fang; Lingfeng Tao; Zhengxiong Li (CoRR, 2025)

Closer to Language than Steam: AI as the Cognitive Engine of a New Productivity Revolution. - Xinmin Fang; Lingfeng Tao; Zhengxiong Li (CoRR, 2025)

AI's Euclid's Elements Moment: From Language Models to Computable Thought. - Xinmin Fang; Lingfeng Tao; Zhengxiong Li (CoRR, 2025)