Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
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Updated
Jul 23, 2019 - Python
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
[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.
Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.
Task Allocation Strategy to distribute goals (in a decentralised manner) in a heterogeneous fleet considering, goals makespan, goals position, robot capabilities.
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?" https://arxiv.org/abs/2405.19119
A programmatic LLM prompt structure that enables plan generation functional across situated environments, robot capabilities, and tasks.
[CoRL 2022] BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment
Code for Transformers are Adaptable Task Planners, CoRL 2022
Code for the ICRA 2024 Cook2LTL paper on translating free-form cooking recipes to Linear Temporal Logic (LTL) formulae for robot task planning.
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
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!
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