Articles | Volume 15, issue 1
https://doi.org/10.5194/ms-15-195-2024
https://doi.org/10.5194/ms-15-195-2024
Research article
 | 
22 Mar 2024
Research article |  | 22 Mar 2024

Multi-robot consensus formation based on virtual spring obstacle avoidance

Yushuai Fan, Xun Li, Xin Liu, Shuo Cheng, and Xiaohua Wang

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Cited articles

Allignol, C., Barnier, N., Durand, N., Manfredi, G., and Blond, É.: Assessing the Robustness of a UAS Detect & Avoid Algorithm, in: 12th USA/Europe Air Traffic Management Research and Development Seminar, Seattle, United States, https://enac.hal.science/hal-01519659 (last access: 23 November 2022), 2017. a
Arrichiello, F., Chiaverini, S., Indiveri, G., and Pedone, P.: The null-space-based behavioral control for mobile robots with velocity actuator saturations, Int. J. Robot. Res., 29, 1317–1337, https://doi.org/10.1177/0278364909358788, 2010. a
Dai, Y. and Lee, S.-G.: The leader-follower formation control of nonholonomic mobile robots, Int. J. Control Autom., 10, 350–361, https://doi.org/10.1007/s12555-012-0215-x, 2012. a
Durand, N. and Barnier, N.: Does ATM need centralized coordination? Autonomous conflict resolution analysis in a constrained speed environment, Air Traffic Control Quarterly, 23, 325–346, https://doi.org/10.2514/ATCQ.23.4.325, 2015. a, b
Goss, J., Rajvanshi, R., and Subbarao, K.: Aircraft conflict detection and resolution using mixed geometric and collision cone approaches, in: AIAA Guidance, Navigation, and Control Conference and Exhibit, Providence, Rhode Island, US, 16–19 August 2004, AIAA 2004-4879, https://doi.org/10.2514/6.2004-4879, 2004. a
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Short summary
In this study, we systematically improved the multi-robot formation control algorithm. We employed a virtual spring approach to stabilize formations, enhanced the Velocity Obstacle algorithm to address collisions in dynamic mobility, and introduced a leader for consistency. Simulations with up to 20 robots confirmed our method's suitability for large-scale formation obstacle avoidance. Position error and path length remained stable as robot numbers increased.