[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.

Human Demo Videos to Robot Action Plans

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"

Task planning web application with REST API and JWT authentication, using SQLite with pure Go driver

Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]

Code for the ICRA 2024 Cook2LTL paper on translating free-form cooking recipes to Linear Temporal Logic (LTL) formulae for robot task planning.

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling

Package for Intelligent Assembly Robot System.

Experiments with LLM agents using Microsoft's AutoGen

traditional/task planning AI, including UDGOAP, DGU, GOAP, Utility

A set of data collected while doing simple tasks in Human-Robot teach-by-demonstration and task planning scenarios.

The hierarchical planner CHIMP (Conflict-driven Hierarchical Meta-CSP Planner).

This repository contains code required to convert FOON graph files into a PDDL-readable format, which can then be used for further planning approaches with off-the-shelf planners.

This repository contains code for processing FOONs, a knowledge graph representation to facilitate robotic task planning!

ROXANNE Package for ROSJava

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

A programmatic LLM prompt structure that enables plan generation functional across situated environments, robot capabilities, and tasks.

Teriyaki: A Framework to Generate Neurosymbolic PDDL-compliant Planners

[CoRL 2022] BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment

PDDL+ based AI Task Planning domain modelling a robot-enabled cafe environment. Part of Assignment for AI for Robotics 2 course at UniGe, Italy.