A C/C++ software development kit for Livox lidars, enabling developers to easily connect to sensors and receive point cloud and IMU data.

A ROS 2 RMW implementation based on Zenoh that provides an alternative to DDS for robot communication, featuring implicit shared memory and flexible cross-host discovery.

A framework for simulation verification and physical deployment of reinforcement learning policies for quadruped, wheeled, and humanoid robots.

AutoGLM‑GUI is a desktop/Docker app that lets LLMs control Android phones via ADB. It offers chat‑based task execution, layered planning/execution agents, real‑time screen preview, multi‑device management, cron scheduling, workflow saving, conversation history, and an MCP API for integration with other AI tools.

A lightweight LiDAR-inertial odometry and mapping system that provides robust pose estimation and degeneracy detection for robots using ROS 2.

A ROS2-based calibration toolkit for optimizing robot kinematic chains, sensor extrinsics, and mobile base parameters to ensure physical hardware matches the URDF model.

A humanoid teleoperation system combining an RL-based loco-manipulation policy with a low-cost isomorphic exoskeleton cockpit for precise full-body control.

A set of libraries for logging and visualizing multimodal robotics data via streaming or MCAP files, with support for Python, C++, Rust, and ROS.

A unified model for robotic manipulation that combines video generation and action prediction through a two-stage training process to improve visual foresight and task execution.

An embodied foundation model family that bridges vision-language understanding with real-robot control through 3D grounding and contact point prediction.

A flight-proven, open software stack for developing, simulating, and deploying perception-based multi-drone autonomy using ROS2, PX4, and ArduPilot.

A scalable simulation pipeline and co-training strategy for end-to-end autonomous driving that synthesizes high-fidelity reactive scenarios to improve model robustness.

A PyTorch-based library that combines deep perceptual models with physics-based optimization for robot learning, providing tools for Lie groups, filtering, and second-order optimization.

A free and fast computer vision solution tailored for robots in the FIRST Robotics Competition, providing tools for easy integration and vision processing.

Reverb is a Linux‑only, Python‑friendly library (with a C++ backend) that provides a gRPC‑based, distributed experience‑replay service for reinforcement‑learning research. It lets you define tables with configurable sampling/removal strategies (uniform, prioritized, FIFO, etc.), rate limiters, and capacity limits, and supports checkpointing and sharding across multiple servers. Install via `pip install dm-reverb[tensorflow]` and use the `reverb.Server`/`reverb.Client` API to insert and sample data. Designed for research, not production, and tightly coupled to specific TensorFlow versions.

A ROS meta-package for autonomous vehicle navigation providing 2-D/3-DOF path planning, costmap handling, and collision prevention control.

A C++ library for communicating with Invensense MPU-6500 and MPU-9250/9255 IMUs, providing easy access to motion and magnetic data via I2C or SPI.

An open-source lightweight library for managing hardware products as a collection of independent software features, enabling faster development and reuse across microcontrollers.

A collection of essential utilities, packages, and testing infrastructure designed to support the development and deployment of NVIDIA Isaac ROS packages.

A code generation tool for ROS 2 that converts declarative YAML definitions into C++ or Python libraries for parameter declaration, retrieval, and validation.

An optimizing path planner for ROS that uses sequential convex optimization to solve motion planning problems while satisfying constraints and avoiding collisions.

A multi-language API for industrial robot simulation and offline programming that allows developers to program any industrial robot arm using universal languages instead of vendor-specific ones.

A Python API for the GraspNet-1Billion dataset, providing tools to load, process, and validate grasp labels and point cloud data for robotic grasping research.

A suite of human-collected datasets and a benchmark for open vocabulary visuolinguomotor learning, enabling robots to execute a vast array of natural language instructions.

An open-source, low-cost electronic speed controller (ESC) for brushless DC motors designed specifically for robotics, supporting FOC and multiple control modes.

A visual SLAM system that uses points, lines, and planes for efficient sparse mapping and localization across monocular, RGB-D, and stereo cameras.

A package providing interfaces to simulate robots in the Webots 3D simulator using ROS2 messages, services, and actions.

A unified framework for robot learning that provides a collection of MuJoCo-simulated environments and tasks exposed via the OpenAI-Gym API.

A high-performance embedded autopilot system for autonomous vehicles that uses model-based design to enable rapid control system development and auto-code generation.

A parallel and differentiable robotics kinematics library for PyTorch that provides fast forward and inverse kinematics and Jacobian calculations.

A ROS 2 LiDAR SLAM system that converts sensor bags into Autoware-compatible map bundles, including point clouds and auto-generated lanelet2 files.

A C++ library implementing Optimal Reciprocal Collision Avoidance (ORCA) to enable thousands of independent robots or agents to navigate a shared space without collisions or communication.

A pure-Python library for computing the inverse kinematics of any robot, supporting URDF and MuJoCo MJCF imports and an accelerated JAX backend.

An interactive simulation platform for household activities that allows researchers to train embodied AI agents and generate synthetic video data via a Python API.

skrl is a modular Reinforcement Learning library implemented in PyTorch, JAX, and NVIDIA Warp that supports a wide variety of environment interfaces for training agents.

A bridge enabling two-way communication between the CARLA simulator and ROS, allowing for the control of autonomous driving agents and the retrieval of sensor data.

A collection of student autonomous driving models (BEVFormer, UniAD, VAD) trained via a world-model RL teacher for benchmarking in the Bench2Drive framework.

FarmBot OS is the operating system for FarmBot devices, enabling the automated operation of the core hardware.

An experimental mobile automation project that enables AI agents to control iOS and Android devices through an in-app agent or a JSON-RPC bridge.

An open-source platform for controlling connected, automated vehicles that integrates navigation, guidance, and control to enable cooperative driving research.

Official ROS 2 wrapper for Stereolabs ZED depth cameras, providing image, depth, point‑cloud, SLAM, object detection, body tracking, GNSS fusion and simulation support. Installable on Ubuntu with ZED SDK and CUDA, launchable via `ros2 launch zed_wrapper zed_camera.launch.py`.

Beluga is a C++17 library that implements Monte Carlo Localization (particle filters) for robots. It provides a ROS‑agnostic core, ROS bindings, an AMCL‑compatible node, benchmarking tools, and an optional OpenVDB extension for 3‑D localization.

An open-source ROS-based framework and hardware kit that provides tools and preconfigured images to easily create and program autonomous drones.

A low-cost, universal leader-follower teleoperation system that allows users to control a wide variety of commercial robot arms using a 3D-printed leader arm.

A collection of standard messages and services for ROS 2 that enables different robotics software components to communicate without creating circular dependencies.

A modular embedded control framework for RoboMaster robots that uses a three-layer architecture (BSP, Module, App) to simplify robot development and hardware abstraction.

JanusVLN is a vision-language navigation framework that uses a dual implicit memory system to decouple and synergize semantic understanding and 3D spatial cognition for embodied agents.

A unified framework for benchmarking and implementing deep imitation learning algorithms like GAIL and RED using SAC as a base, tested on Gym MuJoCo environments.