AI Planning with Constraint Satisfaction Problems.
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Updated
Apr 3, 2021 - Python
AI Planning with Constraint Satisfaction Problems.
Web management app which allows expectant mothers to call-in to get personalized information on pregnancy risk assessments and health recommendations
PDDL-based task and motion planning of a robotic coffee shop
Tchakra2's Homepage
Simulation of a robotic coffee shop using a PDDL-based planner 'ENHSP-20'
A naturalistic programming language
Expressiveness of Graph Neural Networks in Planning Domains.
Code and Data for the paper "Large Language Models as Planning Domain generators" accepted at ICAPS 2024
PDDL+ based AI Task Planning domain modelling a robot-enabled cafe environment. Part of Assignment for AI for Robotics 2 course at UniGe, Italy.
Development and implementation using PDDL/HDDL planners of five different scenarios involving injured people and delivery robots, with increasing complexity
Artificial intelligence automated planning and scheduling.
Automated planner with real-world scenario using baward search algorithm.
A ROS2 package for interacting with oRatio
Six Degrees of Planning: Automated Planning for Surgical Navigation Under MyCobot’s Six Degrees of Freedom
Deliverables relating to the Fundamentals of Automated Planning University Unit
Master Class on Plan and Goal Recognition
Graphplan is an automated planning algorithm that takes as input a planning problem expressed in STRIPS and produces, if one is possible, a sequence of operations for reaching a goal state. I have implemented it here, alongside a few problem examples.
BPM 2021 Tutorial on Automated Planning and Business Process Management
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