Open-source alternatives to Multi Agent Path Planning

PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration

OpenMower is an autonomous lawn mower controller and firmware system that uses high-precision RTK GPS to navigate robotic mowers without the need for physical boundary wires. It functions as a GPS-based path planner and hardware management system that converts manual machines into autonomous units. The project includes a remote management application for monitoring and controlling mowers via a web or mobile interface. It integrates an obstacle avoidance system and safety layers that execute emergency stops when the device is lifted or crashes. The system manages robotic hardware through firm

This project is a comprehensive software framework for autonomous robot navigation, providing a collection of algorithms for path planning, motion control, and trajectory generation. It serves as a toolkit for implementing and researching navigation logic, enabling the calculation of collision-free routes and the execution of precise movement commands for autonomous mobile agents. The library distinguishes itself by integrating both global pathfinding and real-time reactive control strategies. It supports diverse planning methodologies, including graph-based heuristic searches and sampling-ba

MotionPlanning is a software library designed for autonomous navigation, providing a comprehensive suite of tools for path planning, trajectory generation, and vehicle control. It enables the calculation of collision-free routes and dynamic movement paths for autonomous vehicles operating in complex, changing environments. The project distinguishes itself by integrating hierarchical motion decomposition, which separates high-level route planning from low-level trajectory generation to manage computational complexity. It employs kinematic bicycle modeling and trailer dynamics simulation to ens

OpenCat-Quadruped-Robot is a development framework and motion control API for building four-legged robots. It provides a comprehensive environment for quadruped robot development, featuring tools for locomotion gait design, inverse kinematics, and a layered control architecture that separates high-level intelligence from low-level motion. The project distinguishes itself as an embedded AI deployment tool, allowing users to train, quantize, and deploy machine learning models to vision modules for tasks such as object detection and visual target tracking. It further supports complex human-robot

iNAV is flight control firmware designed to manage the stability, movement, and flight dynamics of multirotors, fixed-wing aircraft, and rovers. It serves as an autonomous flight controller and GPS navigation software capable of executing waypoint missions and maintaining position and altitude hold. The system integrates GPS and compass data to enable autonomous navigation and automatic return to home sequences during signal loss or sensor failure. It includes an on-screen display generator to render real-time vehicle status and warnings directly onto a pilot video feed, alongside a flight te

PathPlanning is a library of animated path planning algorithms that includes implementations of A-star, Dijkstra, RRT, and spline-based trajectory generation for both 2D and 3D environments. The project provides a collection of motion planning algorithms that demonstrate how robots can find collision-free paths through continuous spaces, with each algorithm rendered as a step-by-step visual animation to show how the search or tree grows over time. The library covers three main categories of path planning: sampling-based methods like RRT, RRT-star, and BIT-star that grow trees by randomly samp

This project is a framework for autonomous mobile robot navigation within the Robot Operating System ecosystem. It provides a suite of tools for calculating safe trajectories and movement commands, enabling mobile bases to reach specific destinations while avoiding obstacles in dynamic environments. The system utilizes a hierarchical planning approach that separates long-range path generation from short-range reactive obstacle avoidance. It maintains spatial awareness through a centralized coordinate tracking system and a grid-based representation that stores obstacle information and proximit

DRL-robot-navigation is a deep reinforcement learning platform and robotic simulation framework designed to train autonomous mobile robots for collision-free path planning. It uses neural network policies and physics-engine simulation environments to teach robots how to navigate toward target coordinates while avoiding obstacles. The software trains continuous control policies using twin delayed deep deterministic policy gradients over continuous state and action spaces. Training is guided by scalar reward signals derived from target proximity and obstacle avoidance distances. System compone

This project is a robotics software package designed for simultaneous localization and mapping, providing a framework for visual-inertial odometry and environmental mapping. It functions as a middleware-integrated library that enables autonomous mobile robots to estimate their position and orientation by processing sensor data within modular software systems. The library distinguishes itself by utilizing hardware-accelerated processing to perform feature tracking and odometry calculations on dedicated graphics hardware. It maintains spatial accuracy through graph-based optimization and statis

Ego-planner-swarm is an autonomous drone swarm trajectory planner and decentralized multi-agent navigation system. It provides algorithmic software tools for calculating collision-free movement paths for single or multiple multicopters using decentralized onboard computing and local peer communication without relying on central ground stations or servers. The software encompasses algorithmic components for drone motion planning, including asynchronous background replanning loops that adapt flight paths immediately to newly perceived obstacles or moving agents. Movement paths are represented

Prometheus is an autonomous drone flight stack providing a software suite for navigation, target recognition, and flight control. It functions as a computer vision navigation engine and a precision autonomous landing controller, enabling unmanned aerial vehicles to operate without manual pilot input. The system distinguishes itself through multi-vehicle coordination and swarm synchronization, allowing aerial and ground vehicles to maintain formations and execute joint maneuvers via a shared communication framework. It further integrates a simulation environment for software-in-the-loop testin

Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams

Dummy-Robot is a software platform designed for the real-time teleoperation of desktop robotic arms. It functions as a human-robot interaction interface, translating gestural input and sensor data into fluid mechanical motion to enable remote physical task execution. The system utilizes a specialized control framework to map human hand movements directly to robotic actuators. By integrating sensor fusion and kinematic mapping, the software maintains low-latency synchronization between an operator's spatial inputs and the physical assembly, allowing for precise manipulation through a dedicated

This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

llmware is a Python framework for AI agent orchestration and model management, designed to coordinate multi-model workflows and autonomous agents. It provides a unified model catalog and standardized interface to execute specialized language models for complex research, analysis, and structured data generation. The project distinguishes itself through its heavy emphasis on local execution and quantized inference, allowing models to run on private infrastructure using CPU, GPU, and NPU acceleration via runtimes like ONNX and OpenVino. It features a specialized ability to translate natural lang

Malmo is a voxel-based simulation platform designed for artificial intelligence research and the study of autonomous agent behaviors. Built as a sandbox environment using Minecraft, it serves as a framework for multi-agent simulation and reinforcement learning research within a 3D grid of blocks. The project distinguishes itself through a multi-agent simulation framework that coordinates and synchronizes multiple autonomous agents to perform collaborative missions. It provides a standardized interface following reinforcement learning specifications, allowing it to function as an environment f

Nanobrowser is an AI browser automation tool and Chrome extension that uses large language models to execute complex, multi-step web workflows through a natural language interface. It functions as a multi-agent workflow orchestrator, coordinating specialized AI agents to plan strategies and interact with page elements to complete tasks. The system emphasizes local-first operations, acting as a local API manager that stores provider credentials and executes data processing within the browser to keep sensitive information and keys out of external servers. It utilizes a provider-agnostic API bri

The Open-Source Rover Platform is a hardware and software framework for building and controlling six-wheel planetary exploration rovers. It provides a six-wheel robot chassis and a modular robotics framework designed for integrating various motors, wheel sizes, and chassis materials. The platform features a six-wheel chassis equipped with a differential pivot suspension and an Ackerman steering mechanism to enable navigation across rugged outdoor terrain. Control is managed through a communication system that connects central processors to hardware via Bluetooth, WiFi, or USB for remote opera

Cult-UI is an AI application UI kit and a collection of accessible components and templates designed for building large language model powered interfaces and agent workflows. It provides a foundation for developing AI applications, including specialized interface libraries for retrieval-augmented generation and agent orchestration. The project distinguishes itself through dedicated UI building blocks for coordinating multi-agent systems, evaluator-optimizer loops, and tool-based execution flows. It also features a component installation CLI and model context protocols for rapidly integrating

Cylon is a JavaScript robotics framework and hardware abstraction layer designed for controlling robots, drones, and IoT devices. It functions as an IoT device orchestrator that translates high-level JavaScript commands into hardware signals and manages multiple sensors and components concurrently. The system utilizes a modular architecture of drivers and adaptors to normalize diverse hardware signals into a unified programming interface. It enables the deployment of hardware control logic across various environments, including web browsers and mobile applications, through cross-platform bund

Valetudo is a custom firmware project for robot vacuums that enables local-only control, removing dependencies on cloud servers and protecting user privacy. It replaces proprietary vendor binaries with open source software to ensure that data, including floor plans and images, is not uploaded to external clouds. The project distinguishes itself by providing a rooted firmware installation process that prevents forced vendor updates. It implements a standardized control interface across different hardware brands and utilizes an MQTT-based message bus to facilitate integration with open source a

dm_control is a physics-based simulation framework and robot control simulation toolkit designed for creating and interacting with continuous control tasks. It serves as a suite of reinforcement learning environments and a benchmarking tool for evaluating autonomous agents within virtual physics spaces. The framework provides a collection of environments based on MuJoCo physics bindings to simulate rigid body dynamics and contact forces. It features hardware-accelerated rendering and interactive viewers for the visualization of physics environments and agent behavior. The system supports the

RecastNavigation is a navigation mesh toolset and game AI pathfinding library used to generate and query walkable surfaces in 3D environments. It functions as a runtime navigation mesh generator and spatial query library, transforming raw 3D geometry into simplified surfaces to enable AI movement. The project includes a crowd simulation engine that manages steering and collision avoidance for large numbers of agents. It provides capabilities for group movement coordination and the simulation of many agents simultaneously using scalable navigation techniques. The system covers mesh generation

Genesis World is an embodied AI simulation platform designed for training robotic agents through physics-based interactions. It centers on a multi-physics simulation engine that integrates rigid body, particle, and finite element method dynamics, supported by a parallel simulation kernel compiler that translates Python functions into optimized GPU and CPU kernels. The platform features a photorealistic robot renderer that utilizes path-tracing and Gaussian Splatting to generate synthetic training data. It includes a domain randomization framework to vary lighting and physical parameters acros

Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and verifying the dynamics of complex robotic systems. It functions as a multibody dynamics simulator and a mathematical optimization library, providing a suite of algorithms for trajectory optimization and the simulation of articulated robots. The framework is distinguished by its block-diagram system for composing dynamical subsystems and its ability to formulate and solve diverse mathematical programs, including linear, quadratic, and nonconvex nonlinear problems. It supports specializ

Genesis is an embodied AI simulation platform and parallelized robotics simulator designed for training general-purpose robotic agents. It integrates a physics engine for robotics that calculates collisions and movements for rigid bodies, soft tissues, and fluids, alongside a photorealistic 3D rendering engine. The platform features a domain randomization framework to vary environment parameters across parallel simulations, aiding in sim-to-real transfer. It supports the integration of real-world captured light fields and Gaussian splatting to provide photorealistic backgrounds within simulat