Robot Planning in Uncertain, Dynamic Environments
Many real-world applications require robots to operate in dynamic environments characterized by moving objects or agents whose trajectories are unpredictable. This thesis addresses the challenges posed by such environments by introducing Relative Temporal Probabilistic Roadmaps (Rel-T-PRM), a novel...
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| Formato: | Thesis |
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Massachusetts Institute of Technology
2024
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| Acesso em linha: | https://hdl.handle.net/1721.1/156644 |