Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment

Research article (IEEE Robotics and Automation Letters, 2023) · cited 25× · AI/ML
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Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment

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Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-robot-trajectory-planning-with-feasibility-guarantee-and-deadlock-resolution-an-obstacle-dense-environment
MLA “Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-robot-trajectory-planning-with-feasibility-guarantee-and-deadlock-resolution-an-obstacle-dense-environment.
BibTeX @misc{4ortxyz_multi-robot-trajectory-planning-with-feasibility-guarantee-and-deadlock-resolution-an-obstacle-dense-environment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment}}, year = {2026}, url = {https://4ort.xyz/entity/multi-robot-trajectory-planning-with-feasibility-guarantee-and-deadlock-resolution-an-obstacle-dense-environment}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-Robot Trajectory Planning With Feasibility Guarantee and Deadlock Resolution: An Obstacle-Dense Environment — https://4ort.xyz/entity/multi-robot-trajectory-planning-with-feasibility-guarantee-and-deadlock-resolution-an-obstacle-dense-environment (retrieved 2026-05-24)

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