Xinxing Chen
Research Associate Professor (Associate Reseacher)
- Research Direction：
- Robot perception and motion planning, human motion modeling and analysis, probabilistic estimation, reinforcement learning
- E-mail：
- chenxx@sustech.edu.cn
Xinxing Chen, jointly trained by Huazhong University of Science and Technology, China and EPFL, Switzerland, received her Ph.D. degree in control science and engineering in 2020. She has been working in the Department of Mechanical and Energy Engineering, Southern University of Science and Technology since 2020, and is currently a research assistant professor (associate researcher). She has long been engaged in the research of perception and motion planning algorithms for mobile robots and walking-aid rehabilitation robots. She has been granted a youth project of National Natural Science Foundation of China and the China Postdoctoral Science Fund. She has published more than 20 papers in IEEE Transactions on Neural Systems and Rehabilitation, IEEE/ASME Transactions on Mechatronic, IEEE Robotics and Automation Letters and other international journals and conferences such as ICRA and IROS. She has been granted 5 invention patents and awarded the Best Paper Award Finalist at the 2021 IEEE International Conference on Advanced Robotics and Mechatronics and the Outstanding Paper Award at the 14th China Intelligent Robotics Conference.
Research Area：
◆ Robot perception and motion planning: deep point cloud classification and feature extraction, visual inertial odometry, robot olfactory perception, multi-objective optimal control, etc.
◆ Human motion modeling and analysis: inertial sensor-based human walking state estimation and prediction, fall risk estimation, etc.
◆ Probability estimation and reinforcement learning: Bayesian inference, particle filtering, reinforcement learning of TSK fuzzy inference system and its application in robot motion planning
Work Experience：
◆ Nov. 2022-Present，
Department of Mechanical and Energy Engineering, Southern University of Science and Technology,
Research Associate Professor (Associate Professor)
◆ Oct. 2020-Oct,2022，
Department of Mechanical and Energy Engineering, Southern University of Science and Technology,
Postdoc
◆ Sept. 2020-Oct,2020，
Southern University of Science and Technology,
Visiting Scholar
Education:
◆ Sept. 2015 – Aug. 2020, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Master - Ph.D. Program, Control Science and Engineering
◆ Sept. 2017 – Sept. 2018, Distributed Intelligent Systems and Algorithms Laboratory (DISAL), École Polytechnique Fédérale de Lausanne, Visiting Ph.D. Student
◆ Sept. 2011 – Jun. 2015, Huazhong University of Science and Technology, B.E., Optical and Electronic Information Engineering
Professional Recognition：
◆ Chancellor’s Excellent Postdoctoral Award, Southern University of Science and Technology, 2022
◆ Best Conference Paper Finalist of IEEE International Conference on Advanced Robotics and Mechatronics, Chongqing, 2021
◆ Best Paper Award Finalist of the IEEE International Conference on Mechatronics and Machine Vision in Practice, Shanghai, 2021
◆ Graduating Student with Honors, Huazhong University of Science and Technology, 2020
◆ Best Papers Award of the 14th China Intelligent Robot Conference, Chongqing, 2019
◆ Third Prize in National College Students Intelligent Mechanical and Electrical System Innovation Design Competition, Beijing, 2019
◆ Excellent Doctoral Scholarship, HUST, 2019
◆ Chinese Government Scholarship, China Scholarship Council, 2017
◆ Third Prize in National Postgraduate Mathematic Contest in Modeling, Ministry of Education of the People’s Republic of China, 2016
◆ National Scholarship, Ministry of Education of the People’s Republic of China, 2016
Representative Books and Papers:
◆ Chen X, Zhang K, Liu H, Leng Y, Fu C*. A probability distribution model-based approach for foot placement prediction in the early swing phase with a wearable IMU sensor[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 2595-2604.
◆ Chen X, Chen C, Wang Y, et al. A piecewise monotonic gait phase estimation model for controlling a powered transfemoral prosthesis in various locomotion modes[J]. IEEE Robotics and Automation Letters, 2022, 7(4): 9549-9556.
◆ Chen X, Fu C, Huang J*. A Deep Q-Network for robotic odor/gas source localization: Modeling, measurement and comparative study[J]. Measurement, 2021, 183: 109725.
◆ Chen X, Marjovi A, Huang J*, Martinoli A. A probabilistic algorithm for airborne particle source localization leveraging a mobile robot endowed with a low-cost multi-size particle sensor [J]. IEEE Sensors Journal, 2020, 20(21):13074-13085.
◆ Chen X, Huang J*. Combining particle filter algorithm with bio-inspired anemotaxis behavior: A smoke plume tracking method and its robotic experiment validation[J]. Measurement, 2020: 107482.
◆ Chen X, Huang J*. Odor source localization algorithms on mobile robots: A review and future outlook [J]. Robotics and Autonomous Systems, 2019, 112: 123-136.
◆ Chen X, Leng Y, Fu C*. A supervised-reinforced successive training framework for a fuzzy inference system and its application in robotic odor source searching[J]. Frontiers in Neurorobotics, 2022, 16: 914706.
◆ Chen X, Yang B, Huang J, Leng Y, Fu C*. A reinforcement learning fuzzy system for continuous control in robotic odor plume tracking[J]. Robotica, 2022
◆ Yang B, Huang J*, Chen X, et al. Natural Grasp Intention Recognition Based on Gaze in Human–Robot Interaction[J]. IEEE Journal of Biomedical and Health Informatics, 2023.
◆ Chen C#, Cao Y#, Chen X, et al. A Fused Deep Fuzzy Neural Network Controller and Its Application to Pneumatic Flexible Joint[J]. IEEE/ASME Transactions on Mechatronic, 2023.
Research Area：
◆ Robot perception and motion planning: deep point cloud classification and feature extraction, visual inertial odometry, robot olfactory perception, multi-objective optimal control, etc.
◆ Human motion modeling and analysis: inertial sensor-based human walking state estimation and prediction, fall risk estimation, etc.
◆ Probability estimation and reinforcement learning: Bayesian inference, particle filtering, reinforcement learning of TSK fuzzy inference system and its application in robot motion planning
Work Experience：
◆ Nov. 2022-Present，
Department of Mechanical and Energy Engineering, Southern University of Science and Technology,
Research Associate Professor (Associate Professor)
◆ Oct. 2020-Oct,2022，
Department of Mechanical and Energy Engineering, Southern University of Science and Technology,
Postdoc
◆ Sept. 2020-Oct,2020，
Southern University of Science and Technology,
Visiting Scholar
Education:
◆ Sept. 2015 – Aug. 2020, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Master - Ph.D. Program, Control Science and Engineering
◆ Sept. 2017 – Sept. 2018, Distributed Intelligent Systems and Algorithms Laboratory (DISAL), École Polytechnique Fédérale de Lausanne, Visiting Ph.D. Student
◆ Sept. 2011 – Jun. 2015, Huazhong University of Science and Technology, B.E., Optical and Electronic Information Engineering
Professional Recognition：
◆ Chancellor’s Excellent Postdoctoral Award, Southern University of Science and Technology, 2022
◆ Best Conference Paper Finalist of IEEE International Conference on Advanced Robotics and Mechatronics, Chongqing, 2021
◆ Best Paper Award Finalist of the IEEE International Conference on Mechatronics and Machine Vision in Practice, Shanghai, 2021
◆ Graduating Student with Honors, Huazhong University of Science and Technology, 2020
◆ Best Papers Award of the 14th China Intelligent Robot Conference, Chongqing, 2019
◆ Third Prize in National College Students Intelligent Mechanical and Electrical System Innovation Design Competition, Beijing, 2019
◆ Excellent Doctoral Scholarship, HUST, 2019
◆ Chinese Government Scholarship, China Scholarship Council, 2017
◆ Third Prize in National Postgraduate Mathematic Contest in Modeling, Ministry of Education of the People’s Republic of China, 2016
◆ National Scholarship, Ministry of Education of the People’s Republic of China, 2016
Representative Books and Papers:
◆ Chen X, Zhang K, Liu H, Leng Y, Fu C*. A probability distribution model-based approach for foot placement prediction in the early swing phase with a wearable IMU sensor[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 2595-2604.
◆ Chen X, Chen C, Wang Y, et al. A piecewise monotonic gait phase estimation model for controlling a powered transfemoral prosthesis in various locomotion modes[J]. IEEE Robotics and Automation Letters, 2022, 7(4): 9549-9556.
◆ Chen X, Fu C, Huang J*. A Deep Q-Network for robotic odor/gas source localization: Modeling, measurement and comparative study[J]. Measurement, 2021, 183: 109725.
◆ Chen X, Marjovi A, Huang J*, Martinoli A. A probabilistic algorithm for airborne particle source localization leveraging a mobile robot endowed with a low-cost multi-size particle sensor [J]. IEEE Sensors Journal, 2020, 20(21):13074-13085.
◆ Chen X, Huang J*. Combining particle filter algorithm with bio-inspired anemotaxis behavior: A smoke plume tracking method and its robotic experiment validation[J]. Measurement, 2020: 107482.
◆ Chen X, Huang J*. Odor source localization algorithms on mobile robots: A review and future outlook [J]. Robotics and Autonomous Systems, 2019, 112: 123-136.
◆ Chen X, Leng Y, Fu C*. A supervised-reinforced successive training framework for a fuzzy inference system and its application in robotic odor source searching[J]. Frontiers in Neurorobotics, 2022, 16: 914706.
◆ Chen X, Yang B, Huang J, Leng Y, Fu C*. A reinforcement learning fuzzy system for continuous control in robotic odor plume tracking[J]. Robotica, 2022
◆ Yang B, Huang J*, Chen X, et al. Natural Grasp Intention Recognition Based on Gaze in Human–Robot Interaction[J]. IEEE Journal of Biomedical and Health Informatics, 2023.
◆ Chen C#, Cao Y#, Chen X, et al. A Fused Deep Fuzzy Neural Network Controller and Its Application to Pneumatic Flexible Joint[J]. IEEE/ASME Transactions on Mechatronic, 2023.