Selected Publications
[15] Chulho Yang, Lingfeng Tao, and Avimanyu Sahoo. ‘New Programs in Mechatronics and Robotics: Curriculum Development, Status, and Direction for Engineering Technology‘. In 2025 ASEE Conference for Industry and Education Collaboration (CIEC). ASEE, 21 Jan, 2026
[14] Li, Zheshuo, Lingfeng Tao, Yidian Hu, and Zhengxiong Li. “PlasTrack: Path-Independent Plasma-Induced Attacks on mmWave Sensing Tracking.” In 2025 IEEE Conference on Communications and Network Security (CNS), pp. 1-9. IEEE, 2025.
[13] Lingfeng Tao, Jiucai Zhang, and Xiaoli Zhang. “Stable In-Hand Manipulation with Finger-Specific Multi-Agent Shadow Critic Consensus and Information Sharing.” IEEE Robotics and Automation Letters (2025).
[12] Haoyang Wang, Haoran Guo, Zhengxiong Li, Lingfeng Tao, ‘Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking.’ In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 20233-20238. IEEE, 2025.
[11] Haoran Guo, Haoyang Wang, Zhengxiong Li, Lingfeng Tao, ‘Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection.’ In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 10394-10399. IEEE, 2025.
[10] Xinming Fang, Lingfeng Tao, Zhengxiong Li, ‘VRobotix: A Scalable and Cost-Effective Virtual-Reality-Based Robotic Manipulation Dataset Generation Framework.’ In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 13097-13102. IEEE, 2025.
[9] Xinming Fang, Lingfeng Tao, Zhengxiong Li, ‘DexPour: Effective and Efficient High-DoF Robotic Hand Liquid Pouring via Hierarchical Reward with Approximated Proxy Abstraction.’ In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1397-1402. IEEE, 2025.
[8] Wang, Haoyang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, and Lingfeng Tao. “Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach.” In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12164-12169. IEEE, 2024.
[7] Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng, Xiaoli Zhang. ‘Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation.’ 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.
[6] Tao, Lingfeng, Jiucai Zhang, Michael Bowman, and Xiaoli Zhang. “A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation.” In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 3897-3903. IEEE, 2023.
[5] Tao, Lingfeng, Michael Bowman, Xu Zhou, Jiucai Zhang, and Xiaoli Zhang. “Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-Autonomous Telemanipulation.” Journal of Intelligent & Robotic Systems 104, no. 3 (2022): 1-16.
[4] Tao, Lingfeng, Jiucai Zhang, and Xiaoli Zhang. “Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum.” Journal of Intelligent & Robotic Systems 106, no. 1 (2022): 1-11.
[3] Tao, Lingfeng, Michael Bowman, Jiucai Zhang, and Xiaoli Zhang. “Forming Real-World Human-Robot Cooperation for Tasks With General Goal.” IEEE Robotics and Automation Letters 7, no. 2 (2021): 762-769.
[2] Stanley, Matthew, Lingfeng Tao, and Xiaoli Zhang. “Robust Motion Mapping Between Human and Humanoids Using CycleAutoencoder.” 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2021.
[1]Tao, Lingfeng, Michael Bowman, Jiucai Zhang, and Xiaoli Zhang. “Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation.” In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 590-595. IEEE, 2021.
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