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Home People Research Research Publications Teaching Protocol Sharing News Center for Pain Medicine Research Brief Info Software Alumni Join us Contact us Yuquan Leng Research Associate Professor Department of Mechanical and Energy Engineering Leng Yuquan received his Ph.D. in pattern recognition and intelligent system from the University of Chinese Academy of Sciences in 2017, and was engaged in doctoral research in Shenyang Institute of Automation, Chinese Academy of Sciences - State Key Laboratory of robotics. Since Oct. 2017, he has been engaged in postdoctoral research at South University of science and technology / Southeast University, and served as research associate professor of department of mechanical and energy engineering . His main research interests are human-augmented robot, perception and navigation of robot, and machine learning algorithm. As the project leader, he has presided over five national and provincial level topics. He has published one academic book, more than thirty technical papers and has sixty patents, etc. Personal Profile Personal Profile Research human-augmented robot: assist exoskeleton, rehabilitation exoskeleton, prosthesis perception and navigation for robot: machine vision, SLAM machine learning algorithm: supervised learning, unsupervised learning, reinforcement learning Publications Read More [1] Zhang K#, Chen J#, Wang J, Leng Y, de Silva C W, Fu C*. Gaussian-guided Feature Alignment for Unsupervised Cross-subject Adaptation. Pattern Recognition, Volume 122, February 2022, 108332. [2] Ma L, Leng Y, Jiang W, Qian Y, Fu C*. Design an Underactuated Soft Exoskeleton to Sequentially Provide Knee Extension and Ankle Plantarflexion Assistance. IEEE Robotics and Automation Letters, 7(1): 271-278, 2022. [3] Leng Y, Lin X, Yang L, Zhang K, Chen X, Fu C*. A Model for Estimating the Leg Mechanical Work Required to Walk with an Elastically-Suspended Backpack. IEEE Transactions on Human-Machine Systems, 2021. (DOI: 10.1109/THMS.2021.3137012) [4] Leng Y, Lin X, Huang G, Wu J, Hao M, Xiang Y, Zhang K, Fu C*. Wheel-Legged Robotic Limb to Assist Human with Load Carriage: An application for environmental disinfection during COVID-19. IEEE Robotics and Automation Letters, 6(2): 3695-3702, 2021. (RA-L with ICRA 2021 option) [5] Yang L, Xiong C, Hao M, Leng Y, Chen K, Fu C*. Energetic Response of Human Walking with Loads Using Suspended. IEEE/ASME Transactions on Mechatronics, 2021. (DOI: 10.1109/TMECH.2021.3127714) [6] 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. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 2595-2604, 2021. [7] Zhang K#, Liu H#, Fan Z, Chen X, Leng Y, de Silva C W, Fu C*. Foot Placements Prediction for Assistive Walking by Fusing Sequential 3D Gazes and Environmental Context. IEEE Robotics and Automation Letters, 6(2): 2509-2516, 2021. (RA-L with ICRA 2021 option) [8] Leng Y, Lin X, Lu Z, Song A, Yu Z, Fu C*. A Model to Predict Ground Reaction Force for Elastically-Suspended Backpacks. Gait & Posture, Volume 82, 118-125, 2020. [9] Han X, Wang X, Leng Y*, Zhou W. A plane extraction approach in inverse depth images based on region-growing. Sensors, 2021, 21(4): 1141. [10] Zhang H, Leng Y*. Motor skills learning and generalization with adapted curvilinear gaussian mixture model. Journal of Intelligent & Robotic Systems, 2019, 96: 457-475. [11] Fu M#*, Leng Y#, Luo H, Zhou W. An occlusion-aware framework for real-time 3d pose tracking. Sensors, 2018, 18(8): 2734. [12] Leng Y*, Yu C, Zhang W, Zhang Y, He X, Zhou W. Task-oriented hierarchical control architecture for swarm robotic system. Natural Computing, 2017, 16 (4):579-596. [13] Leng Y*, Chen Z, He X, Zhang Y, Zhang W. Collision Sensing Using Force/Torque Sensor. Journal of Sensors, 2016, 2016:1-10. [14] Leng Y*, Zhang Y, He X, Zhang W, Luo H, Zhou W. Omnidirectional analysis of spatial manipulator. Journal of Robotics, 2015, 2015:1-11. Join us Read More Contact Us Contact Address Office Phone Email lengyq@sustech.edu.cn