OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
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Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
- astar
- jump-point-search
- motion-planning
- ros
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
The repository host gives no description.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- ai
- computer-vision
- robotics
- simulator
[ICML 2026] RoboTwin 2.0 Offical Code Repo
[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
- hybrid-astar
- state-lattice-planner
- pure-pursuit
- rear-wheel-feedback
Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!
Benchmarking Knowledge Transfer in Lifelong Robot Learning
- benchmark
- imitation-learning
- lifelong-learning
- manipulation
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
- character-animation
- digital-human
- humanoid
- humanoid-robots
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
- slam
- lidar-slam
- 3d-reconstruction
- mesh-reconstruction
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
- agi
- natural-language
- natural-language-inference
- natural-language-understanding
Advanced implementation of LOAM
- loam
- lidar
- slam
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
MIT Cheetah I Implementation
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
- robotics
- cpp
- algorithms
- planning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
- drone
- drones
- autonomous-quadcoptor
- autonomous
flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.
- algorithm
- autonomous-driving
- autonomous-navigation
- autonomous-vehicles
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
- slam
- localization
- mapping
- euroc-dataset
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
- meta-rl
- multi-task
- benchmark-environments
- mujoco