Biosketch

Rui Li 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. He is the leader of Perception Group, Institute of Robot and Intelligent System (RIS-lab). His research interests include dexterous robotic manipulation and robotic perception.

Publications

By 2022, Rui LI has published 34 high-quality papers in high-impact factor journals (such as IEEE/ASME T-MECH) and influential international conferences (such as IROS and WCICA). He has also applied 8 patents in China (6 granted). Download the list in BibTeX .

Journal Papers

  1. Li, R., and Peng, B. (2022). Implementing Monocular Visual-Tactile Sensors for Robust Manipulation. Cyborg and Bionic Systems 2022, 1–7.
     10.34133/2022/9797562
  2. Bing, Z., Zhou, H., Li, R., Su, X., Morin, F. O., Huang, K., et al. (2022). Solving Robotic Manipulation with Sparse Reward Reinforcement Learning via Graph-Based Diversity and Proximity. IEEE Transactions on Industrial Electronics, 1–1.
     10.1109/tie.2022.3172754
  3. Bing, Z., Chen, F., Li, R., Zhong, J., and Li, Q. (2022). Editorial: Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications. Frontiers in Neurorobotics 16.
     10.3389/fnbot.2022.928465
  4. Liu, X., Su, X., Li, R., and Shi, P. (2022). Anti-Disturbance Sliding Mode Control for Uncertain Nonlinear Systems. International Journal of Control, 1–0.
     10.1080/00207179.2022.2122573
  5. Wang, Z., Zou, L., Su, X., Luo, G., Li, R., and Huang, Y. (2021). Hybrid force/position control in workspace of robotic manipulator in uncertain environments based on adaptive fuzzy control. Robotics and Autonomous Systems 145, 103870.
     10.1016/j.robot.2021.103870
  6. Wang, C., Li, R., Su, X., and Shi, P. (2021). Output Feedback Sliding Mode Control of Markovian Jump Systems and Its Application to Switched Boost Converter. IEEE Transactions on Circuits and Systems I: Regular Papers 68, 5134–5144.
     10.1109/tcsi.2021.3113356
  7. Su, J., Liu, C., and Li, R. (2021). Robot Precision Assembly Combining with Passive and Active Compliant Motions. IEEE Transactions on Industrial Electronics, 1–1.
     10.1109/tie.2021.3108710
  8. Li, R., Li, Y., and Su, X. (2021). A two-step method for 4-pin form-closure gripper with grasping force optimization. Asian Journal of Control 23, 2079–2086.
     10.1002/asjc.2545
  9. Bing, Z., Brucker, M., Morin, F. O., Li, R., Su, X., Huang, K., et al. (2021). Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation. IEEE Transactions on Neural Networks and Learning Systems, 1–14.
     10.1109/tnnls.2021.3088947
  10. Bing, Z., Alvarez, E., Cheng, L., Morin, F. O., Li, R., Su, X., et al. (2021). Robotic Manipulation in Dynamic Scenarios via Bounding-Box-Based Hindsight Goal Generation. IEEE Transactions on Neural Networks and Learning Systems, 1–14.
     10.1109/tnnls.2021.3124366
  11. Li, X., Qian, Y., Li, R., Niu, X., and Qiao, H. (2020). Robust form-closure grasp planning for 4-pin gripper using learning-based Attractive Region in Environment. Neurocomputing 384, 268–281.
     10.1016/j.neucom.2019.12.039
  12. Li, Y., Jia, L., Ji, Y., and Li, R. (2020). Event-triggered guaranteed cost control of time-varying delayed fuzzy systems with limited communication. Measurement and Control 53, 2129–2136.
     10.1177/0020294020970221
  13. Li, R., and Qiao, H. (2019). A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks—Some New Trends. IEEE/ASME Transactions on Mechatronics 24, 2718–2732.
     10.1109/tmech.2019.2945135
  14. Ma, C., Li, R., and Qiao, H. (2018). Non-fragile consensus control of networked robotic manipulators with topology-dependent memory. Assembly Automation 38, 625–634.
     10.1108/aa-01-2018-001
  15. Li, R., and Qiao, H. (2017). Condition and Strategy Analysis for Assembly Based on Attractive Region in Environment. IEEE/ASME Transactions on Mechatronics 22, 2218–2228.
     10.1109/tmech.2017.2705180
  16. Qiao, H., Ma, C., Li, R., Li, X., Chen, Z., Wu, W., et al. (2017). Simple coarse sensing to achieve high precision From attractive region in environment to constrained region in environment. Systems Science & Control Engineering 5, 16–24.
     10.1080/21642583.2016.1274244
  17. Ma, C., Qiao, H., Li, R., and Li, X.-Q. (2017). Flexible robotic grasping strategy with constrained region in environment. International Journal of Automation and Computing 14, 552–563.
     10.1007/s11633-017-1096-5
  18. Zhu, W., Wang, P., Li, R., and Nie, X. (2017). Real-time 3D work-piece tracking with monocular camera based on static and dynamic model libraries. Assembly Automation 37, 219–229.
     10.1108/aa-02-2017-018
  19. Su, J., Li, R., Qiao, H., Xu, J., Ai, Q., and Zhu, J. (2017). Study on dual peg-in-hole insertion using of constraints formed in the environment. Industrial Robot: An International Journal 44, 730–740.
     10.1108/ir-07-2016-0186
  20. Qiao, H., Ma, C., and Li, R. (2016). Compliant robotic manipulation: A neurobiologic strategy. Brain-inspired intelligent robotics: The intersection of robotics and neuroscience (Science/AAAS, Washington, DC, 2016), 47–49.  link
  21. Li, R., Wu, W., and Qiao, H. (2015). The compliance of robotic hands – from functionality to mechanism. Assembly Automation 35, 281–286.
     10.1108/aa-06-2015-054
  22. Qiao, H., Wang, M., Su, J., Jia, S., and Li, R. (2015). The Concept of Attractive Region in Environment and its Application in High-Precision Tasks With Low-Precision Systems. IEEE/ASME Transactions on Mechatronics 20, 2311–2327.
     10.1109/tmech.2014.2375638

Conference Papers

  1. Wang, Y., Li, R., Qi, Q., and Su, X. (2021). An improved one-stage detector for vehicle and pedestrian detection on campus AGV. in 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR) (IEEE).
     10.1109/isr50024.2021.9419572
  2. Cao, Y., Yang, C., Li, R., Knoll, A., and Beltrame, G. (2020). Accurate position tracking with a single UWB anchor. in 2020 IEEE International Conference on Robotics and Automation (ICRA) (IEEE).
     10.1109/icra40945.2020.9197345
  3. Li, R., Hu, Y., Cao, Y., and Li, M. (2020). A Framework for the Integration of Coarse Sensing Information and Environmental Constraints. in 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (IEEE).
     10.1109/ro-man47096.2020.9223429
  4. Pan, W., Li, R., and Bock, T. (2020). Design and Synthesis of the Localization System for the On-site Construction Robot. in Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC) (International Association for Automation and Robotics in Construction (IAARC).
     10.22260/isarc2020/0208
  5. Li, X., Li, R., Qiao, H., Ma, C., and Li, L. (2017). Human-inspired compliant strategy for peg-in-hole assembly using environmental constraint and coarse force information. in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE).
     10.1109/iros.2017.8206348
  6. Chen, Z., Li, R., Ma, C., Li, X., Wang, X., and Zeng, K. (2016). 3D vision based fast badminton localization with prediction and error elimination for badminton robot. in 2016 12th World Congress on Intelligent Control and Automation (WCICA) (IEEE).
     10.1109/wcica.2016.7578819
  7. Li, X., Qiao, H., Ma, C., Li, R., and Zeng, K. (2016). A dynamical compliant grasping strategy for dexterous robotic hands with cushioning mechanism. in 2016 12th World Congress on Intelligent Control and Automation (WCICA) (IEEE).
     10.1109/wcica.2016.7578820

Magazine Articles

  1. Qiao, H., Li, R., and Yin, P. (2015). Robotics and Automation Activities in China [Industrial Activities]. IEEE Robotics & Automation Magazine 22, 14–17.
     10.1109/mra.2015.2452193
  2. Qiao, H., Yin, P., and Li, R. (2015). What is the Meaning for the Interdisciplinary Research of Robot and Neuroscience? —Thoughts on the Future Development of Intelligent Robot. Bulletin of Chinese Academy of Sciences, 762–771.
     10.16418/j.issn.1000-3045.2015.06.007

Granted Patents

  1. Li, X. Q., Qian, Y., Li, R., Niu, X. Y., Liu, Y. L., and Qiao, H. (2019). Monocular vision based grasping point extraction method for stable robotic grasping. (Invention Patent). CN201910017358.8.  link
  2. Niu, X. Y., Li, R., and Qiao, H. (2018). Position-adjustable 4-pin gripper. (Utility Model Patent). CN201821611028.9.  link
  3. Qiao, H., Li, Q. X., Ma, C., Li, R., and Chen, Z. Y. (2016). Attractive Region in Environment based robotic grasp planning. (Invention Patent). CN201610108378.2.  link
  4. Qiao, H., Chen, Z. Y., Ma, C., Li, R., and Li, X. Q. (2016). A robotic gripper for peg-in-hole assembly. (Utility Model Patent). CN201620131470.6.  link
  5. Qiao, H., Li, R., Ma, C., Li, X. Q., and Chen, Z. Y. (2016). Attractive Region in Environment based robotic assembly method and system. (Invention Patent). CN201610089839.6.  link
  6. Li, X. Q., Qiao, H., Su, J. H., Li, R., Song, Y. B., Zhao, X., et al. (2015). A robotic grasping system. (Utility Model Patent). CN201520790633.7.  link

Applied Patents

  1. Li, R., Liu, S. M., Peng, B. H., Su, X. J., Cen, R. P., and Ma, T. D. (2021). A montain road lane detection method. (Invention Patent). CN202110518920.2.  link
  2. Su, X. J., Xiao, Y., Zheng, Z., Ma, T. dong, Jiang, T., Li, R., et al. (2021). A reliable device for docking micro mobile robots. (Invention Patent). CN202110234666.3.  link

Professional Activities

As Technical Committee Members

  • Committee Member, TECHNICAL COMMITTEE for Robot Intelligence, Chinese Association of Automation

    Please check the member list here (Chinese version only)

  • Committee Member, IEEE RAS TECHNICAL COMMITTEE for Robotic Hands, Grasping and Manipulation

    Please check the member list here

As Reviewer

Reviewer for journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Electronics and for conferences such as ICRA, IROS, etc. Please see the complete list at my Publons website.

At Conferences

  • Session Chair, IEEE Conference on Automation Science and Engineering (CASE 2022)

    IEEE CASE 2022 will be held on Aug 20-24, 2022, in Mexico City, Mexico. We organize a special session, entitled ‘Brain-Inspired Control and Learning for Robotics and Automation’. Please check the CFP here .

  • Session Co-Chair, IEEE Conference on Advanced Robotics and Mechatronics (ARM 2022)

    IEEE ARM 2022 will be held on Jul 9-11, 2022, in Guilin, China. We organize a special session, entitled ‘Robotic Intelligence in Complex Environments’. Please check the CFP here .

  • Co-Guest Editor, Frontiers on Neurorobotics

    The special issue is entitled with ‘Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications’. Please check the CFP here .

  • Session Co-Chair, 13th IEEE Conference on Automation Science and Engineering (CASE 2017)

    IEEE CASE 2017 was held on Aug 20-23, 2017, in Xi’an, China. We organized a special session, entitled ‘The Interaction and Integration of Sensing, Motor and Environment for Robotic Manipulation’. Based on this special session, we hope to discuss how to introduce human nature to robotic manipulation systems.