Automated planning project (FIB-UPC, AI course): travel-agency domain modelled in PDDL with progressive constraint complexity, solved via the ENHSP planner.
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Updated
Jul 6, 2026 - PDDL
Automated planning project (FIB-UPC, AI course): travel-agency domain modelled in PDDL with progressive constraint complexity, solved via the ENHSP planner.
Symbolic mission planning for a planetary rover using PDDL and PDDL+, with limited memory, continuous encoding, corruption, and automatic data-loss events.
Reproducible PDDL+ study of battery-constrained planetary rover planning, featuring ENHSP experiments, statistical analysis, and ROS 2 integration.
Simulation of a robotic coffee shop using a PDDL-based planner 'ENHSP-20'
Safety-constrained PDDL planning: physical safety encoded in action preconditions, verified by an independent simulator across 3 domains (numeric crushing, blocks-world, categorical fragility)
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