Mechatronics and Intelligent Robotics Lab
The MIR Lab, within the College of Engineering, Architecture, and Technology, Oklahoma 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.
News
[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 first-author manuscript ‘Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation.‘ is submitted to ICRA 2024.
[Paper][09/2023] The first-author 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).
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