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Chao Liu
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Documents
Identifiants chercheurs
- chaoliu
- 0000-0003-0696-3943
- Google Scholar : https://scholar.google.com/citations?user=wmujYfAAAAAJ&hl=en
Présentation
Dr. Liu received his Ph.D. degree in Electrical & Electronic Engineering from Nanyang Technological University, Singapore in 2006. He joined French National Center for Scientific Research (CNRS) as CR2 Research Scientist in 2008 and was promoted to CR1 Senior Research Scientist in 2012. Dr. Liu's research interests include surgical robotics, teleoperation, haptics, control theory/system, and computer vision. Dr. Liu is involved in several European and French national research projects on medical robotics as Principle Investigator or participant. He is an expert panelist of Project Evaluation Committee for French National Research Agency (ANR) and Swiss National Science Foundation (SNSF). Dr. Liu serves on IEEE Technical Committee on "Telerobotics" since 2011, IFAC Technical Committee on "Biological and Medical systems" since 2012 and IEEE Technical Committee on "Haptics". He also serves as program committee member and associate editor for numerous international conferences.
[Personal Homepage](https://www.lirmm.fr/~liu "Chao Liu")
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A method of motion recognition based on electromyographic signalsAdvanced Robotics, 2020, 34 (15), pp.976-984. ⟨10.1080/01691864.2020.1750480⟩
Article dans une revue
lirmm-03771079v1
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A Robot Learning Method with Physiological Interface for Teleoperation SystemsApplied Sciences, 2019, 9 (10), pp.2099. ⟨10.3390/app9102099⟩
Article dans une revue
lirmm-02315641v1
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A wave variable approach with multiple channel architecture for teleoperated systemIEEE Access, 2019, 7, pp.143912-143920. ⟨10.1109/ACCESS.2019.2945674⟩
Article dans une revue
lirmm-02315649v1
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Estimation of EMG-Based Force Using a Neural-Network-Based ApproachIEEE Access, 2019, 7, pp.64856-64865. ⟨10.1109/ACCESS.2019.2917300⟩
Article dans une revue
lirmm-02315621v1
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Haptics Electromyography Perception and Learning Enhanced Intelligence for Teleoperated RobotIEEE Transactions on Automation Science and Engineering, 2019, 16 (4), pp.1512-1521. ⟨10.1109/TASE.2018.2874454⟩
Article dans une revue
lirmm-02315619v1
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Hand Tracking Accuracy Enhancement by Data Fusion Using Leap Motion and MYOICUSAI 2019 - IEEE International Conference on Unmanned Systems and Artificial Intelligence, Nov 2019, Xi'an, Shaanxi, China. pp.256-261, ⟨10.1109/ICUSAI47366.2019.9124812⟩
Communication dans un congrès
lirmm-02409783v1
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A Framework of Human Impedance recognitionICAC 2019 - 25th International Conference on Automation and Computing, Sep 2019, Lancaster, United Kingdom. pp.1-6, ⟨10.23919/IConAC.2019.8895250⟩
Communication dans un congrès
lirmm-02315606v1
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Robot Teleoperation System Based on Mixed RealityICARM 2019 - 4th IEEE International Conference on Advanced Robotics and Mechatronics, Jul 2019, Toyonaka, Japan. pp.384-389, ⟨10.1109/ICARM.2019.8834302⟩
Communication dans un congrès
lirmm-02315582v1
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Optimal Feature Selection for EMG-Based Finger Force Estimation Using LightGBM ModelRO-MAN 2019 - 28th IEEE International Conference on Robot and Human Interactive Communication, Oct 2019, New Delhi, India. pp.1-7, ⟨10.1109/RO-MAN46459.2019.8956453⟩
Communication dans un congrès
lirmm-02315613v1
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Wrist Motion Recognition by Using Electromyographic SignalsICARM 2019 - 4th IEEE International Conference on Advanced Robotics and Mechatronics, Jul 2019, Toyonaka, Japan. pp.130-135, ⟨10.1109/ICARM.2019.8833665⟩
Communication dans un congrès
lirmm-02315573v1
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MYO Armband and Leap Motion data fusion with OpenSim based Virtual Reality EnvironmentICCSIP: International Conference on Cognitive Systems and Information Processing, Nov 2018, Beijing, China
Communication dans un congrès
lirmm-02315560v1
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