[Robot][09/2024] We just purchased a Bambu Lab P1P 3D Printer, it will be used for tactile sensors and haptic device research.
[Team][08/2024] Welcome our new graduate student researchers, Haoran Guo, and Haoyang Wang. Their research focuses on learning-based dexterous manipulation and multi-modal tactile sensing.
[Grant][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.
[Robot][04/2024] We have purchased a lot of new robots! They will be used for both research and teaching. Check the details here.
[Paper][02/2024] Great news! The paper ‘Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation.‘ has been accepted by ICRA 2024. It will be presented at Yokohama in May 2024.
[Grant][11/2023] Dr. Lingfeng Tao joined as the senior personnel to the NSF-funded research project Collaborative Research: REU site: Multi-disciplinary Research Experiences in Smart Personal Protective Equipment (SmaPP) ($262k).
[Grant][11/2023] Dr. Lingfeng Tao joined the DOE-funded Great Plains Center of Excellence (GPCoE) and will contribute to the research using intelligent robots in industrial assessment ($7 million).
[Robot][11/2023] Welcome our new Allegro Robot Hand. It will be used for research in Dexterous Manipulation.
[Service][10/2023] Dr. Tao attended the Major/Minor Fair and hosted the booth for the Mechatronics and Robotics Program.
[Service][09/2023] Dr. Tao joined and served on the technical committee of the International Mechatronics and Robotics Conference 2023 hosted by OSU.
[Team][09/2023] Welcome our new graduate student researcher, Himavanth Sakshi, and undergraduate student researchers Jinyi Bai and Christian Muttiah.
[Paper][09/2023] The manuscript ‘Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation.‘ is submitted to ICRA 2024.
[Paper][09/2023] The manuscript ‘Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward.’ is submitted to ICRA 2024.
[Service][08/2023] Dr. Tao started to serve as the OSU DET Mechatronics and Robotics program coordinator.
[Service][08/2023] I’m happy to share that I’m starting a new position as an Assistant Professor at Oklahoma State University. Visit my bio page here.
[Paper][07/2023] The first-author manuscript ‘A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation‘ has been published in IEEE Xplore.
[Paper][01/2023] The first-author manuscript ‘A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation‘ has been accepted by ICRA 2023 London.
[Paper][11/2022] The collaborative manuscript ‘Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation‘ is uploaded to arXiv and submitted to JINT.
[Paper][11/2022] The collaborative manuscript ‘Physics-Guided Hierarchical Reward Mechanism for Learning-Based Object Grasping‘ is uploaded to arXiv and submitted to IEEE RAL.
[Paper][08/2022] The first-author paper ‘Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum‘ is published in the Journal of Intelligent & Robotic Systems.
[Paper][03/2022] The first-author paper ‘Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-Autonomous Telemanipulation‘ is published in the Journal of Intelligent & Robotic Systems.
[Paper][12/2021] The first-author paper ‘Forming Real-World Human-Robot Cooperation for Tasks With General Goal‘ is published in the IEEE Robotics and Automation Letters.
[Paper][10/2022] The collaborative manuscript ‘Robust Motion Mapping Between Human and Humanoids Using CycleAutoencoder‘ is accepted by the 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[Paper][07/2021] The first-author manuscript ‘Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation‘ is accepted by the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
