Simulation platform for general-purpose robotics & embodied AI learning.
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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
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
- autonomous-driving
- cooperative-driving-automation
- simulation
- connected-and-automated-vehicles
robotic motion planning library
- robotics-algorithms
- topp
- motion-planning
- robotics
This repository contains multiple approaches for generating global racetrajectories.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
- autonomous-vehicles
- autonomous-driving
- carla
- perception
Library for working with the AxiDraw v3 pen plotter.
Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.
- planner
- graph
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.