About the PI
He/him. /’ljəŋ²-fəŋ¹-tʰɑu²’/. 陶凌峰
Dr. Lingfeng Tao is an assistant professor of Robotics and Mechatronics at Kennesaw State University and leads research at the intersection of robotics, AI, and human-machine collaboration. Dr. Tao’s research focuses on Learning-Based Robot Control, Autonomous Robots, and Human-Machine Systems, aiming to enhance robotic learning capabilities and intelligence for autonomous task execution and seamless human-robot collaboration. His work spans dexterous manipulation, multi-robot teaming, intelligent manufacturing, and human-robot interaction, with an emphasis on natural and intuitive cooperation between robots and human operators. Dr. Tao has been publishing in top-tier robotics journals and conferences, including IEEE RA-L, ICRA, IROS, CNS, SMC, and ROBIO. He has secured over $1 million in research funding as PI and Co-PI from the National Science Foundation (NSF), the Nvidia Academic Award, the KSU Move Center, and the KSU PLOT Center, and has contributed to over $3.8 million in successful funding proposals.
Intelligent Dexterity (InDex) Lab
The MIR Lab, within the Department of Robotics and Mechatronics Engineering at Kennesaw State University, is conducting cutting-edge intelligent robotics research in the areas of Learning-Based Robot Control, Autonomous Robots, and Human-Machine Systems, with a focus on improving the learning capability and intelligence of the robot to autonomously complete tasks or adapt and cooperate with the human operator naturally and intuitively. The applications include medical robots, multi-robot teaming, intelligent manufacturing, and human-robot collaboration.
Long-Horizon Telemanipulation
Tactile Sensors
News
[Paper][06/2026] Great news! Our paper, ‘Data-Driven Optimization of Tactile Sensor Configurations for Dexterous Manipulation,‘ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][06/2026] Great news! Our paper, ‘LiE-CBF: Lie Group Energy-Augmented Control Barrier Functions for Redundant Manipulators on SE(3),’ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][06/2026] Great news! Our paper, ‘DexTact: A Visuo-Tactile Foundation Model for Dexterous Hand Grasping,’ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][06/2026] Great news! Our paper, ‘ExplicitDP: Generalized Multi-Task Manipulation with Explicit Diffusion Policies via Phase-Aware Task Understanding,’ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][06/2026] Great news! Our paper, ‘Orthogonal Composite Tokens: Geometric Noise Isolation for Robust Multimodal Robot Manipulation,‘ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][06/2026] Great news! Our paper, ‘Operator Anonymity via Bounded Metric Privacy for Learning-Based Dexterous Telemanipulation,‘ has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026.
[Paper][02/2026] Great news! Our paper, ‘Bi-Hap: a Bi-directional Learning-Based Control and Momentum-based Haptic Feedback System for Dexterous In-hand Telemanipulation,‘ has been accepted to the IEEE International Conference on Robotics and Automation (ICRA) 2026.
[Award][01/2026] I am happy to share that our grant, ‘Dexterous In-Hand Telemanipulation with End-Effector-Based Control and Safety-Aware Perception Feedback for Human-Robot Collaborative Tasks,’ has been successfully transferred to Kennesaw State University. I’ll serve as the PI of this project and continue work with the other collaborative PI, Dr. Zhengxiong Li, at CU Denver.
[Award][09/2025] I am happy to share that our proposal, ‘Risk-Aware HRI via Multi-Modal Simulation and Physics-Informed VLA Model,’ has been awarded by the Nvidia Academic Grant Program. I’ll serve as the PI of this project.
[Paper][07/2025] Great news! Our paper, ‘PlasTrack: Path-Independent Plasma-Induced Attacks on mmWave Sensing Tracking,’ has been accepted to the 𝘐𝘌𝘌𝘌 𝘊𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘰𝘯 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘢𝘯𝘥 𝘕𝘦𝘵𝘸𝘰𝘳𝘬 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 (𝘊𝘕𝘚) 2025.
[Paper][06/2025] Our paper ‘Bio-Skin: A cost-effective thermostatic tactile sensor enabling multi-modal force and temperature detection‘ has been accepted by IEEE IROS 2025.
[Paper][06/2025] Our paper ‘Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking‘ has been accepted by IEEE IROS 2025.
[Paper][06/2025] Our paper, ‘VRobotix: A Scalable and Cost-Effective Virtual-Reality-Based Robotic Manipulation Dataset Generation Framework,‘ has been accepted by IEEE IROS 2025.
[Paper][06/2025] Our paper ‘DexPour: Effective and Efficient High-DoF Robotic Hand Liquid Pouring Via Hierarchical Reward with Approximated Proxy Abstraction‘ has been accepted by IEEE IROS 2025.
[Paper][03/2025] Great news! Our paper ‘mmVanish: Extending the Vanish Attack for Multi-Radar Exploitation of mmWave Sensing with Meta-material Tags‘ is published on the Sensors S&P 2025 and received the best paper award.
[Paper][01/2025] Great news! Our paper ‘Stable In-Hand Manipulation with Finger-Specific Multi-Agent Shadow Critic Consensus and Information Sharing.’ is published on the top-tier robotics journal IEEE Robotics and Automation Letters.
[Conference][10/2024] Our graduate student Haoyang Wang presented the paper ‘Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach‘ in IEEE IROS 2024 at Abu Dhabi.
[Robot][09/2024] We just purchased a Bambu Lab P1P 3D Printer, it will be used for tactile sensors and haptic device research.
[Award][08/2024] I am happy to share that our proposal, ‘Dexterous In-Hand Telemanipulation with End-Effector-Based Control and Safety-Aware Perception Feedback for Human-Robot Collaborative Tasks,’ has been awarded by the National Science Foundation. I’ll serve as the PI of this project.
[Paper][07/2024] Great news! Our paper ‘Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach.’ has been accepted by IEEE IROS 2024. It will be presented in Abu Dhabi in Oct 2024.
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