Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm.

Research article (2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE), 2023) · cited 10× · AI/ML
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Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm.

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Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm. is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm.. Retrieved May 24, 2026, from https://4ort.xyz/entity/teaching-control-theory-using-mobile-robot-obstacle-following-avoidance-with-coppeliasim-and-mfo-algorithm
MLA “Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/teaching-control-theory-using-mobile-robot-obstacle-following-avoidance-with-coppeliasim-and-mfo-algorithm.
BibTeX @misc{4ortxyz_teaching-control-theory-using-mobile-robot-obstacle-following-avoidance-with-coppeliasim-and-mfo-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm.}}, year = {2026}, url = {https://4ort.xyz/entity/teaching-control-theory-using-mobile-robot-obstacle-following-avoidance-with-coppeliasim-and-mfo-algorithm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Teaching Control Theory using Mobile Robot Obstacle Following/Avoidance with CoppeliaSim and MFO Algorithm. — https://4ort.xyz/entity/teaching-control-theory-using-mobile-robot-obstacle-following-avoidance-with-coppeliasim-and-mfo-algorithm (retrieved 2026-05-24)

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