Robotics
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A curated list of awesome links, software libraries, and resources for robotics development.
An open-source robotics simulator providing high-fidelity physics, rendering, and sensor models for robotics development.
Open-source flight software, simulator, and tools for NASA's Astrobee free-flying robots on the International Space Station.
A dynamic multi-robot simulator for 3D environments with extensive object interaction.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
Core libraries for creating robot programs for the FIRST Robotics Competition roboRIO.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, frameworks, and simulators for robotics and autonomous driving.
A curated list of awesome LIDAR sensors, datasets, libraries, algorithms, and simulators for robotics and autonomous driving.
A high-performance, robust open-source implementation of the OMG DDS specification for real-time distributed systems.
A database of SDF models for the Gazebo robotics simulator, providing pre-built robot and object models.
A curated collection of papers, toolboxes, and notes for LiDAR-camera extrinsic calibration methods.
A robust visual-inertial odometry framework for real-time motion estimation using cameras and IMUs.
Real-time, jerk-constrained, time-optimal trajectory generation for robots and machines.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
A JSON interface to ROS that enables web and non-ROS clients to interact with ROS topics, services, and parameters via WebSockets or TCP.
A Python toolbox for quantitative evaluation of visual(-inertial) odometry trajectories using alignment methods and error metrics.
A deep learning system for detecting known objects and estimating their 6-DoF pose from RGB images.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
Automated, hardware-independent hand-eye calibration for ROS1 with GUI support for robot vision tasks.
Visualize ROS topics directly in the terminal using Unicode/ASCII art for quick sensor debugging.
A lean and fast C++ library for 3D point cloud data processing with efficient implementations of common operations.
ROS tools for IMU devices including orientation filters and visualization plugins.
A 3D segment-based mapping library for robot localization, environment reconstruction, and semantics extraction using LiDAR data.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
A protocol for real-time transfer and visualization of autonomy data like sensor feeds and vehicle state.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A CUDA-accelerated library for rapid 3D data processing in robotics, enabling GPU-powered SLAM, collision avoidance, and path planning.
A ROS-based method for extrinsic calibration between a 3D LiDAR and a 6-DOF pose sensor using point cloud crispness optimization.
An open-source hardware and software platform for computer control of modern vehicles to facilitate autonomous vehicle development.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
A pure-Python inverse kinematics library for computing robot joint positions from end-effector poses.
A VSCode template for ROS2 development with Docker containers, pre-configured tasks, debugging, and CI.
A React toolkit for visualizing autonomous vehicle and robotics data encoded in the XVIZ protocol.
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
A deep learning-enhanced Kalman filter for accurate vehicle dead reckoning using only an IMU sensor.
Deep learning inference nodes for ROS/ROS2 with support for NVIDIA Jetson devices and TensorRT.
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