TY - GEN
T1 - A Discrete Model of Collective Marching on Rings
AU - Amir, Michael
AU - Agmon, Noa
AU - Bruckstein, Alfred M.
N1 - Funding Information: This research was partially supported by the Israel Science Foundation grant no. 2306/18. The authors would like to thank Prof. Amir Ayali (Tel Aviv University) for bringing our attention to the locust experiments and for graciously letting us use the image in Fig. 1, Prof. Ofer Zeitouni (Weizmann Institute of Science) for helpful discussions, and the anonymous reviewers for constructive comments. Funding Information: Acknowledgements. This research was partially supported by the Israel Science Foundation grant no. 2306/18. The authors would like to thank Prof. Amir Ayali (Tel Aviv University) for bringing our attention to the locust experiments and for graciously letting us use the image in Fig. 1, Prof. Ofer Zeitouni (Weizmann Institute of Science) for helpful discussions, and the anonymous reviewers for constructive comments. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - We study the collective motion of autonomous mobile agents on a ringlike environment. The agents’ dynamics is inspired by known laboratory experiments on the dynamics of locust swarms. In these experiments, locusts placed at arbitrary locations and initial orientations on a ring-shaped arena are observed to eventually all march in the same direction. In this work we ask whether, and how fast, a similar phenomenon occurs in a stochastic swarm of simple agents whose goal is to maintain the same direction of motion for as long as possible. The agents are randomly initiated as marching either clockwise or counterclockwise on a wide ring-shaped region, which we model as k “narrow” concentric tracks on a cylinder. Collisions cause agents to change their direction of motion. To avoid this, agents may decide to switch tracks so as to merge with platoons of agents marching in their direction. We prove that such agents must eventually converge to a local consensus about their direction of motion–all agents on each narrow track must eventually march in the same direction. We give asymptotic bounds for the expected amount of time it takes for such convergence or “stabilization” to occur, which depends on the number of agents, the length of the tracks, and the number of tracks. We show that when agents also have a small probability of “erratic”, random track-jumping behaviour, a global consensus on the direction of motion across all tracks must eventually occur. Finally, we verify our theoretical findings in numerical simulations.
AB - We study the collective motion of autonomous mobile agents on a ringlike environment. The agents’ dynamics is inspired by known laboratory experiments on the dynamics of locust swarms. In these experiments, locusts placed at arbitrary locations and initial orientations on a ring-shaped arena are observed to eventually all march in the same direction. In this work we ask whether, and how fast, a similar phenomenon occurs in a stochastic swarm of simple agents whose goal is to maintain the same direction of motion for as long as possible. The agents are randomly initiated as marching either clockwise or counterclockwise on a wide ring-shaped region, which we model as k “narrow” concentric tracks on a cylinder. Collisions cause agents to change their direction of motion. To avoid this, agents may decide to switch tracks so as to merge with platoons of agents marching in their direction. We prove that such agents must eventually converge to a local consensus about their direction of motion–all agents on each narrow track must eventually march in the same direction. We give asymptotic bounds for the expected amount of time it takes for such convergence or “stabilization” to occur, which depends on the number of agents, the length of the tracks, and the number of tracks. We show that when agents also have a small probability of “erratic”, random track-jumping behaviour, a global consensus on the direction of motion across all tracks must eventually occur. Finally, we verify our theoretical findings in numerical simulations.
KW - Collective motion
KW - Mobile robots
KW - Natural algorithms
KW - Swarms
UR - https://www.scopus.com/pages/publications/85123281230
U2 - 10.1007/978-3-030-92790-5_25
DO - 10.1007/978-3-030-92790-5_25
M3 - Conference contribution
SN - 9783030927899
T3 - Springer Proceedings in Advanced Robotics
SP - 320
EP - 334
BT - Distributed Autonomous Robotic Systems - 15th International Symposium, 2022
A2 - Matsuno, Fumitoshi
A2 - Azuma, Shun-ichi
A2 - Yamamoto, Masahito
PB - Springer Nature
T2 - 15th International Symposium on Distributed Autonomous Robotic Systems, DARS 2021 and 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics, SWARM 2021
Y2 - 1 June 2021 through 4 June 2021
ER -