me

I am a project leader (PI) at the University of Konstanz and the Max Planck Institute of Animal Behavior in Konstanz, Germany. My research focuses on collective motion in fish schools using cutting edges tools, including robotic fish and virtual reality techniques.

During my Ph. D, I focused on design, control, modeling and optimizing of carangiform robotic fish. Based on the robotic fish platform, energy saving mechanism in collective motion in fish school was systematically explored in both spatial and time scales. I will continue to test this hypothesis in the real fish system and explore further mechanisms in collective motion in fish school by projecting controllable virtual fish.

Research

  • 26. Ruiheng Wu, Oliver Deussen, Liang Li *, DeepShapeKit: Accurate 4D Shape Reconstruction of Swimming Fish, 2022 IEEE/RSJ international conference on intelligent robots and systems , 2022. PDF
  • 25. Liang Li *, Sridhar Ravi, Chen Wang, Editorial: Robotics to Understand Animal Behaviour, Frontiers in Robotics and AI , 2022. PDF
  • 24. Sridhar Ravi, Tim Siesenop, Olivier J. Bertrand , Liang Li , Charlotte Doussot, Alex Fisher, William H. Warren, Martin Egelhaaf, Bumblebees display characteristics of active vision during robust obstacle avoidance flight, Journal of experimental biology , 2022. PDF
  • 23. Vivek Hari Sridhar, Liang Li *, Dan Gorbonos, Máté Nagy, Bianca R Schell, Timothy Sorochkin, Nir S Gov, and Iain D Couzin, The geometry of decision-making in individuals and collectives, Proceedings of the National Academy of Sciences of the United States of America , 2021. PDF
  • 22. Liang Li , Danshi Liu, Jian Deng, Matthew J. Lutz and Guangming Xie, Fish can save energy via proprioceptive sensing, Bioinspiration & Biomimetics , 2021. PDF
  • 21. Liang Li *, Sridhar Ravi, Guangming Xie and Iain D. Couzin, Using a robotic platform to study the influence of relative tailbeat phase on the energetic costs of side-by-side swimming in fish, Proceedings of the royal society A----Mathematical, physical and engineering sciences , 2021. PDF
  • 20. Liang Li , Xingwen Zheng, Rui Mao, Guangming Xie, Energy Saving of Schooling Robotic Fish in Three-Dimensional Formations, IEEE Robotics and Automation Letters , 2021. PDF
  • 19. Sridhar Ravi, Tim Siesenop, Olivier Bertrand, Liang Li , Charlotte Doussot, William H. Warren, Stacey A. Combes, and Martin Egelhaaf, Bumblebees perceive the spatial layout of their environment in relation to their body size and form to minimize inflight collisions, Proceedings of the National Academy of Sciences , 2020. PDF
  • 18. Liang Li , Chen Chen, and Aming Li, Autonomy promotes the evolution of cooperation in prisoner's dilemma, Physical Review E , 2020. PDF
  • 17. Liang Li , Máté Nagy, Jacob M. Graving, Joseph Bak-Coleman, Guangming Xie, Iain D. Couzin, Vortex phase matching as a strategy for schooling in robots and in fish, Nature Communications , 2020. PDF
  • 16. Runyu Tian, Liang Li *, Wei Wang, Xinghua Chang, Sridhar Ravi, and Guangming Xie, CFD based parameter tuning for motion control of robotic fish, Bioinspiration & Biomimetics , 2020. PDF
  • 15. Liang Li , Anquan Liu, Wei Wang, Sridhar Ravi, Rubin Fu, Junzhi Yu, and Guangming Xie, Bottom-level motion control for robotic fish to swim in groups: modeling and experiments, Bioinspiration & Biomimetics , 2019. PDF
  • 14. Rubin Fu, Liang Li *, Cheng Xu and Guangming Xie, Studies on Energy Saving of Robot Fish Based on Reinforcement Learning, Acta Scientiarum Naturalium Universitatis Pekinensis , 2019. PDF
  • 13. Jacob M. Graving, Daniel Chae, Hemal Naik, Liang Li , Benjamin Koger, Blair R. Costelloe, Iain D. Couzin, DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning, eLife , 2019. PDF
  • 12. Wei Wang; Xia Dai; Liang Li ; Banti H. Gheneti; Yang Ding; Junzhi Yu ; Guangming Xie, Three-Dimensional Modeling of a Fin-Actuated Robotic Fish With Multimodal Swimming, IEEE/ASME Transactions on Mechatronics , 2018. PDF
  • 11. Jinpeng Mi, Yu Sun, Yu Wang, Zhen Deng, Liang Li , Jianwei Zhang and Guanming Xie, Gesture recognition based teleoperation framework of robotic fish, International Conference on Robotics and Biomimetics , 2016. PDF
  • 10. Liang Li , Chen Wang, Ruifeng Fan and Guangming Xie, Exploring the backward swimming ability of a robotic fish: Combining modelling and experiments, International Journal of Advanced Robotic Systems , 2016. PDF
  • 9. Liang Li , Jiang Lv, Chen Wang, Wei Wang, Xing Zhang and Guangming Xie, Application of Taguchi Method in the Optimization of Swimming Capability for Robotic Fish, International Journal of Advanced Robotic Systems , 2016. PDF
  • 8. Anquan Liu, Liang Li , WenGuang Luo, Guangming Xie, Design and Implementation of a High Precision Posture Control Algorithm for Robotic Fish, robot , 2016. PDF
  • 7. Liang Li , Chen Wang, Guangming Xie, A general CPG network and its implementation on the microcontroller, Neurocomputing , 2015. PDF
  • 5. Xiang Pan, Liang Li , Shi-Ming Chen, Guangming Xie, An effective tracking control for robotic fish: Implementation and application, The 34th Chinese Control Conference (CCC) , 2015. PDF
  • 4. Anquan Liu, Jianwei Zhao, Liang Li , Guangming Xie, Micro-force measuring apparatus for robotic fish: Design, implementation and application, The 27th Chinese Control and Decision Conference , 2015. PDF
  • 3. Liang Li , Chen Wang, Guangming Xie, Digital Implementation of CPG controller in AVR system, 33rd Chinese Control Conference , 2014. PDF
  • 2. Liang Li , Chen Wang, Guangming Xie, Modeling of a carangiform-like robotic fish for both forward and backward swimming: based on the fixed point, IEEE International Conference on Robotics & Automation (ICRA) , 2014. PDF
  • 1. Caiwang Wang, Guangming Xie, Xinyan Yin, Liang Li , Long Wang, CPG-based locomotion control of a qudruped amphibious robot, IEEE/ASME International Conference on Advanced Intelligent Mechatronics , 2012. PDF
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    • Am Obstberg 1
    • 78315 Radolfzell / Konstanz
    • lli (at) ab.mpg.de