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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 13: AAAI-21 Technical Tracks 13

Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances

February 1, 2023

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Authors

Jingkai Chen

Massachusetts Institute of Technology


Jiaoyang Li

University of Southern California


Chuchu Fan

Massachusetts Institute of Technology


Brian C. Williams

Massachusetts Institute of Technology


DOI:

10.1609/aaai.v35i13.17340


Abstract:

We present a scalable and effective multi-agent safe motion planner that enables a group of agents to move to their desired locations while avoiding collisions with obstacles and other agents, with the presence of rich obstacles, high-dimensional, nonlinear, nonholonomic dynamics, actuation limits, and disturbances. We address this problem by finding a piecewise linear path for each agent such that the actual trajectories following these paths are guaranteed to satisfy the reach-and-avoid requirement. We show that the spatial tracking error of the actual trajectories of the controlled agents can be pre-computed for any qualified path that considers the minimum duration of each path segment due to actuation limits. Using these bounds, we find a collision-free path for each agent by solving Mixed Integer-Linear Programs and coordinate agents by using the priority-based search. We demonstrate our method by benchmarking in 2D and 3D scenarios with ground vehicles and quadrotors, respectively, and show improvements over the solving time and the solution quality compared to two state-of-the-art multi-agent motion planners.

Topics: AAAI

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HOW TO CITE:

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances Proceedings of the AAAI Conference on Artificial Intelligence (2021) 11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances AAAI 2021, 11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams (2021). Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. Proceedings of the AAAI Conference on Artificial Intelligence, 11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. 2021. Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. "Proceedings of the AAAI Conference on Artificial Intelligence". 11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. (2021) "Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances", Proceedings of the AAAI Conference on Artificial Intelligence, p.11237-11245

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams, "Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances", AAAI, p.11237-11245, 2021.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. "Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. "Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 11237-11245.

Jingkai Chen||Jiaoyang Li||Chuchu Fan||Brian C. Williams. Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. AAAI[Internet]. 2021[cited 2023]; 11237-11245.


ISSN: 2374-3468


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