Symbolic planning and control of robot motion [Grand Challenges of Robotics]

405 citations recorded by the source corpus.

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Harvesting Robots for High‐value Crops: State‐of‐the‐art Review and Challenges Ahead (2014, background): “Other recent work regarding world modeling and reasoning include symbolic planning and control methods (Belta et al., 2007), fuzzy temporal logic (Lu, Augusto, Liu, Wang, & Aztiria, 2012), multiagent systems, dynamic Bayesian networks, and Markov logic networks (Lavee, Rivlin, & Rudzsky, 2009).”
Let's talk: Autonomous conflict resolution for robots carrying out individual high-level tasks in a shared workspace (2015, methodology): “The algorithm is demonstrated with simulated and physical robots in the lab.”
Integrated Task and Motion Planning (2020, background): “An important related line of work uses linear temporal logic (LTL) to provide high-level speciﬁcations for tamp problems with temporally extended goals (25, 26), but it is beyond the scope of this survey.”
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey (2014, background): “In most cases, this is achieved through segregation of the workspace into cells, which can each only hold one vehicle, see, e.g., [22, 95, 198, 221].”