The planning and execution of robotic tasks in dynamic environments requires solutions that integrate both motion planning and high-level task planning. To address this type of problem, we will use The Kautham Project (https://github.com/iocroblab/kautham), a software tool developed by the Institute of Industrial Control (IOC-UPC) that allows the implementation and testing of motion planning algorithms. In this project, we will address a practical case study: a robot acting as a bartender that must prepare and serve a caipirinha to a customer. This scenario represents a typical ex- ample of manipulation that requires a coordinated sequence of actions and movements
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A robotic system combining motion and task planning for autonomous drink preparation. Built with The Kautham Project (IOC-UPC), this implementation demonstrates coordinated robot manipulation through a bartender use case preparing caipirinhas.
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anmar27/Planning-Project-PIRS-
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A robotic system combining motion and task planning for autonomous drink preparation. Built with The Kautham Project (IOC-UPC), this implementation demonstrates coordinated robot manipulation through a bartender use case preparing caipirinhas.
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