🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers

A simple framework for experimenting with Reinforcement Learning in Python.

AI framework for Reinforcement Learning, Automated Planning and Scheduling

AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file

Conflict-based search for multi-agent path finding

An all-in-one application to visualize multiple different local path planning algorithms

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"

Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

Official code release of AAAI 2024 paper SayCanPay.

An object-based toolbox for robot dynamic simulation, analysis, control and planning.

Goal-Oriented Action Planning implementation in Python

ROS - based trajectory planning for a robot on OccupancyGrid

Entropy-controlled contexts in Python

AI planners written in Python

3D UAV simulation and autonomous control for path tracking

STRIPS Planning in Infinite Domains

Autonomous vacuum cleaner robot