Dr. LI, RUI received the B.Eng degree in automation engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2013 and the Ph.D. degree from the Institute of Automation, Chinese Academy of Science (CASIA), Beijing, China in 2018, respectively.

From 2014 to 2018, he served as the Editorial Assistant of Assembly Automation. From 2018 to 2020, he worked as a postdoc researcher with Informatics 6, Technical University of Munich. Currently he is a Hongshen Faculty with Chongqing University. His research interest is exploiting the intelligence for robotic manipulation and robot perception.

Contact Information

Email: rui.li@cqu.edu.cn

Address: 174 Shazheng Street, Shapingba District, Chongqing, 400044, China

Education

Academic Experience

Research Interests

Research topic 1: Discovery of the strategy, planning and control for robotic manipulation.

Strategy, planning and control of robotic manipulation, featuring the use of environmental constraint information in task scenarios to achieve robot manipulations with higher task accuracy than the body accuracy. The proposed algorithms are applied to industrial parts (such as automotive engine piston kits, robot joint reducers, etc.) and life service scenarios (such as elderly care).

Research topic 2: Robot visual perception and robot learning.

Robot vision perception and learning, featuring the introduction of human perception mechanisms and mechanisms into robot systems. The goal is to improve the accuracy, stability and generalization of robot vision recognition. The proposed algorithms are applied to robot object recognition and detection, visual simultaneous localization and mapping (VSLAM).

Publications

Book & Book chapters

· Qiao H., Ma C., Li R., ‘The Concept of Attractive Region in Environment (ARIE) and Its Application in High-Precision Tasks with Low-Precision Systems’. In book ‘The Hand-eye-brain System of Intelligent Robot’. Research on Intelligent Manufacturing. Springer, Singapore.

· R. Li, Z. S. Bing, Q. Qi. ‚ ‘Learning a form-closure grasping with attractive region in environment ‘ in book ‘Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation (1^st edition)’ , Elsevier, 2022.

Journal papers

· R. Li, Y. L. Li, X. J. Su, ‘A two-step method for 4-pin form-closure gripper with grasping force optimization’, Asian Journal of Control, doi: 10.1002/asjc.2545

· R. Li and H. Qiao, ‘A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks—Some New Trends,’ IEEE/ASME Transactions on Mechatronics: 2019, 24(6), 2718-2732.

· Y. L. Li, L. H. Jia, Y. D. Ji, R. Li and H. Qiao, ‘Event-triggered guaranteed cost control of time-varying delayed fuzzy systems with limited communication,’ Measurement and Control: 2020.

· X. Q. Li, Y. Qian, R. Li, X. Y. Niu, and H. Qiao, ‘Robust form-closure grasp planning for 4-pin gripper using learning-based Attractive Region in Environment,’ Neurocomputing: 2020, 384, 268-281.

· R. Li and H. Qiao, ‘Condition and Strategy Analysis for Assembly based on Attractive Region in Environment,’ IEEE/ASME Transactions on Mechatronics: 2017, 22(5), 2218–2228.

· R. Li, W. Wu, H. Qiao, ‘The compliance of robotic hands–from functionality to mechanism,’ Assembly Automation: 2015, 35(3), 281–286.

· H. Qiao, M. Wang, J.H. Su, S.X. Jia and R. Li, ‘The Concept of Attractive Region in Environment and its Application in High-Precision Tasks With Low-Precision Systems,’ IEEE/ASME Transactions on Mechatronics: 2015, 20(5), 2311–2327.

· H. Qiao, C. Ma, R. Li, X.Q. Li, Z.Y. Chen, W. Wu and L. J. Xu, ‘Simple coarse sensing to achieve high precision From attractive region in environment to constrained region in environment,’ Systems Science & Control Engineering: 2017, 5(1), 16–24.

· C. Ma, H. Qiao, R. Li and X.Q. Li, ‘Flexible robotic grasping strategy with constrained region in environment,’ International Journal of Automation and Computing: 2017, 14(5), 552-563.

· W.J. Zhu, P. Wang, R. Li and X.L. Nie, ‘Real-time 3D work-piece tracking with monocular camera based on static and dynamic model libraries,’ Assembly Automation: 2017, 37(2), 219–229.

· J.H. Su, R. Li, H. Qiao, J. Xu, Q.L. Ai and J.K. Zhu, ‘Study on Dual Peg-in-hole Insertion using of Con- straints Formed in the Environment,’ Industrial Robot: An International Journal: 2017, 44(6), 730–740.

· H. Qiao, C. Ma and R. Li, ‘Compliant robotic manipulation: A neurobiologic strategy,’ Brain-inspired intelligent robotics: The intersection of robotics and neuroscience (Science/AAAS, Washington, DC): 2016, 47–50.

Conference Papers`

· R. Li, Y. B. Hu, and Y. J. Cao, ‘A Framework for the Integration of Coarse Sensing Information and Environmental Constraints,’ 29th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2020): 2020.

· Y. Cao, C. Yang, R. Li, A. Knoll and G. Beltrame, ”Accurate position tracking with a single UWB anchor,” 2020 IEEE International Conference on Robotics and Automation (ICRA), 31 May–31 Aug, 2020, pp. 2344–2350.

· W. Pan, R. Li, and T. Bock, ‘Design and Synthesis of the Localization System for the On-site Construction Robot,’ Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC): 2020, 1501-1507.

· X.Q. Li, R. Li, H. Qiao, C. Ma and L. Li, ‘Human-Inspired Compliant Strategy for Peg-in-Hole Assem- bly Using Environmental Constraint and Coarse Force Information,’ 2017 30th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 24-28 Sep 2017, pp. 4743–4748.

· Z.Y. Chen, R. Li, C. Ma, X.Q. Li, X. Wang and K.G. Zeng, ‘3D vision based fast badminton localization with prediction and error elimination for badminton robot,’ 2016 12th World Congress on Intelligent Control and Automation (WCICA), 12-15 June 2016, pp. 3050–3055.

· X.Q. Li, H. Qiao, C. Ma, R. Li and K.G. Zeng, ‘A dynamical compliant grasping strategy for dexterous robotic hands with cushioning mechanism,’ 2016 12th World Congress on Intelligent Control and Automation (WCICA), 12-15 June 2016, pp. 2204–2208.

Magazine Papers

· H. Qiao, R. Li, P.J. Yin, ‘Robotics and Automation Activities in China [Industrial Activities],’ IEEE Robotics & Automation Magazine: 2017, 22(3), 14–17.

· H. Qiao, P.J. Yin and R. Li, ‘What is the Meaning for the Interdisciplinary Research of Robot and Neuroscience? Thoughts on the Future Development of Intelligent Robot [in Chinese],’ Bulletin of Chinese Academy of Sciences: 2015(6), 762–771.

Professional Activities

Awards/Honors

2018 CSC-DAAD Sino-German Postdoc Scholarship (Grant 5091113)