Publications of Liang Li

Afridi, R. H.; Afridi, W. H.; Hamza, M.; Wu, M.; Chao, L.-M.; Zhai, Y.; Li, L.; Xie, G.: Beyond propulsion: muscle proprioception enables hydrodynamic sensing in fish body. Proceedings of the Royal Society B: Biological Sciences 292, 20250474 (2025)

Chao, L.-M.; Li, L.: Hydrodynamic interactions in schooling fish: prioritizing real fish kinematics over travelling-wavy undulation. IEEE International Conference on Robotics and Automation (ICRA), pp. 16895 - 16900 (2025)

Li, L.; Nagy, M.; Amichay, G.; Wu, R.; Wang, W.; Deussen, O.; Rus, D.; Couzin, I. D.: Reverse engineering the control law for schooling in zebrafish using virtual reality. Science Robotics 10 (101), eadq6784 (2025)

Sayin, S.; Couzin-Fuchs, E.; Petelski, I.; Günzel, Y.; Salahshour, M.; Lee, C. Y.; Graving, J. M.; Li, L.; Deussen, O.; Sword, G. A. et al.; Couzin, I. D.: The behavioral mechanisms governing collective motion in swarming locusts. Science 387, pp. 995 - 1000 (2025)

Zhai, Y.; Zheng, X.; Chao, L.-M.; Li, S.; Xiong, M.; Jia, Y.; Li, L.; Xie, G.: An interpretable approach to estimate the self-motion in fish-like robots using mode decomposition analysis. Nature Communications 16 (1), 3887 (2025)

Amichay, G.; Li, L.; Nagy, M.; Couzin, I. D.: Revealing the mechanism and function underlying pairwise temporal coupling in collective motion. Nature Communications 15 (1), 4356 (2024)

Chao, L.-M.; Couzin, I. D.; Li, L.: On turning maneuverability in self-propelled burst-and-coast swimming. Physics of Fluids 36 (11), 111918 (2024)

Chao, L.-M.; Jia, L.; Li, L.: Tailbeat perturbations improve swimming efficiency in self-propelled flapping foils. The Journal of Fluid Mechanics 984, a46 (2024)

Chao, L.-M.; Jia, L.; Wang, S.; Liberzon, A.; Ravi, S.; Couzin, I. D.; Li, L.: Tailbeat perturbations improve swimming efficiency by reducing the phase lag between body motion and the resulting fluid response. PNAS Nexus 3 (3), pgae073 (2024)

Li, K.; Li, L.; Gross, R.; Zhao, S. Y.: A collective perception model for neighbor selection in groups based on visual attention mechanisms. New Journal of Physics 26 (1), 012001 (2024)

Li, L.; Chao, L.-M.; Wang, S.; Deussen, O.; Couzin, I. D.: RoboTwin: A platform to study hydrodynamic interactions in schooling fish. IEEE Robotics & Automation Magazine 31 (1), pp. 10 - 17 (2024)

Wu, R. H.; Deussen, O.; Couzin, I. D.; Li, L.: Non-invasive eye tracking and retinal view reconstruction in free swimming schooling fish. Communications Biology 7, 1636 (2024)

Chao, L. M.; Bhalla, A. P. S.; Li, L.: Vortex interactions of two burst-and-coast swimmers in a side-by-side arrangement. Theoretical and Computational Fluid Dynamics 37 (4), pp. 505 - 517 (2023)

Couzin, I. D.; Li, L.: The benefits of swimming together. eLife 12, e86807 (2023)

Li, J. N.; Li, L.; Zhao, S. Y.: Predator-prey survival pressure is sufficient to evolve swarming behaviors. New Journal of Physics 25 (9), 092001 (2023)

Oscar, L.; Li, L.; Gorbonos, D.; Couzin, I. D.; Gov, N. S.: A simple cognitive model explains movement decisions in zebrafish while following leaders. Physical Biology 20 (4), 045002 (2023)

Li, L.; Ravi, S.; Wang, C.: Robotics to understand animal behaviour. Frontiers in Robotics and AI 9, 963416 (2022)

Ravi, S.; Siesenop, T.; Bertrand, O. J.; Li, L.; Doussot, C.; Fisher, A.; Warren, W. H.; Egelhaaf, M.: Bumblebees display characteristics of active vision during robust obstacle avoidance flight. The Journal of Experimental Biology 225, jeb243021 (2022)

Sun, Y. Z.; Li, W.; Li, L.; Wen, G. H.; Azaele, S.; Lin, W.: Delay-induced directional switches and mean switching time in swarming systems. Physical Review Research 4 (3), 033054 (2022)

Wu, R. H.; Deussen, O.; Li, L.: DeepShapeKit: accurate 4D shape reconstruction of swimming fish. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, pp. 526 - 531 (2022)

Zhou, Y.; Wang, W.; Zhang, H.; Zheng, X. W.; Li, L.; Wang, C.; Xu, G.; Xie, G. M.: Underwater robot coordination using a bio-inspired electrocommunication system. Bioinspiration & Biomimetics 17 (5), 056005 (2022)

Li, L.; Liu, D. S.; Deng, J.; Lutz, M. J.; Xie, G. M.: Fish can save energy via proprioceptive sensing. Bioinspiration & Biomimetics 16 (5), 056013 (2021)

Li, L.; Ravi, S.; Xie, G. M.; Couzin, I. D.: 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 of London Series A-Mathematical Physical and Engineering Sciences 477 (2249), 20200810 (2021)

Li, L.; Zheng, X. W.; Mao, R.; Xie, G. M.: Energy saving of schooling robotic fish in three-dimensional formations. IEEE Robotics and Automation Letters 6 (2), pp. 1694 - 1699 (2021)

Sridhar, V. H.; Li, L.; Gorbonos, D.; Nagy, M.; Schell, B.; Sorochkin, T.; Gov, N. S.; Couzin, I. D.: The geometry of decision-making in individuals and collectives. Proceedings of the National Academy of Sciences of the United States of America 118 (50), e2102157118 (2021)

Zhang, T.; Xiao, J.; Li, L.; Wang, C.; Xie, G.: Toward coordination control of multiple fish-like robots: real-time vision-based pose estimation and tracking via deep neural networks. IEEE/CAA Journal of Automatica Sinica 8, pp. 1964 - 1976 (2021)

Zheng, X. W.; Wang, W.; Li, L.; Xie, G. M.: Artificial lateral line based relative state estimation between an upstream oscillating fin and a downstream robotic fish. Bioinspiration & Biomimetics 16, 016012 (2021)

Li, L.; Chen, C.; Li, A.: Autonomy promotes the evolution of cooperation in prisoner's dilemma. Physical Review E 102, 042402 (2020)

Li, L.; Nagy, M.; Graving, J. M.; Bak-Coleman, J.; Xie, G. M.; Couzin, I. D.: Vortex phase matching as a strategy for schooling in robots and in fish. Nature Communications 11, 5408 (2020)

Ravi, S.; Siesenop, T.; Bertrand, O.; Li, L.; Doussot, C.; Warren, W. H.; Combes, S. A.; Egelhaaf, M.: 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 of the United States of America 117, pp. 31494 - 31499 (2020)

Tian, R. Y.; Li, L.; Wang, W.; Chang, X. H.; Ravi, S.; Xie, G. M.: CFD based parameter tuning for motion control of robotic fish. Bioinspiration & Biomimetics 15 (2), 026008 (2020)

Graving, J. M.; Chae, D.; Naik, H.; Li, L.; Koger, B.; Costelloe, B. R.; Couzin, I. D.: DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning. eLife 8, e47994 (2019)