6 DOF arm manipulation, utilizing knowledge-based reasoning, BDI and HTN planning
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Updated
Jun 16, 2019 - HTML
6 DOF arm manipulation, utilizing knowledge-based reasoning, BDI and HTN planning
Automatically creates a solution to a randomly-generated maze using Pyhop, a Hierarchical Task Network Planner created by Dana Nau based on the SHOP algorithm. Built for artificial intelligence research.
Model that utilizes Pyhop, an A.I. planner based on the JSHOP2 algorithm, to determine whether a person needs assistance based on task progress. Currently integrated into the Computational Model of Assistance. Done during the Summer of 2019 as Research Assistant to Jason R. Wilson, post-doctorate researcher at Northwestern University.
A 3D first-person capture the flag game made with Unity in which the player must capture a treasure chest guarded by a Hierarchical Task Network (HTN) based AI.
Automatic Generation of HTN Domains from VGDL Videogame Descriptions
A fighting game AI: KeepAwayBot, implemented in Java using Hierarchical Task Networks and the Upper Confidence Bounds Algorithm
A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.
HTN planning including resource and temporal constraints with SHOP3. Repository for my Bachelor Thesis @FHAachen.
Hierarchical Task Network example in Godot
Lightweight C++/Python Hierarchical Task Network (HTN) AI Engine
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