Showing 161-180 of 188 projects
A curated collection of resources for the NVIDIA Isaac Gym framework, a reinforcement learning and robotics platform.
Point-LIO is a C++ library for robust and accurate LiDAR-Inertial Odometry, a key technology for autonomous navigation.
A terminal-based tool for visualizing ROS (Robot Operating System) topics using Unicode/ASCII art.
Teach-Repeat-Replan is a complete and robust system for aggressive flight in complex environments using autonomous drones.
MAVLink to ROS gateway with proxy for Ground Control Station
Code snippets for the Robot Operating System 2 (ROS2) framework, focused on robotics development.
A ROS node that turns your robot into a web server to visualize ROS topics
A project exploring human-machine collaboration using a robotic arm, large language models, and multimodal AI.
A comprehensive collection of SLAM (Simultaneous Localization and Mapping) applications and comparisons for robotics and lidar-based navigation.
A C++ library for controlling brushless servos and quadrupedal robots.
This is a version 4 of the diyBMS project, a battery management system for 18650 batteries and powerwalls.
This ROS-based library provides tools for working with IMU (Inertial Measurement Unit) devices.
A MATLAB library for quadrotor control, path planning, and trajectory optimization for unmanned aerial vehicles.
The spatial perception framework for rapidly building smart robots and spaces
A deep reinforcement learning library for training robotic agents to plan pushing and grasping actions for manipulation tasks.
This is an open-source robotics framework for building autonomous ground robots with various drive systems.
An open-source framework for building simulated quadruped robots in the OpenAI Gym environment using Python.
Open-source ROS-based robot dog kit for developers interested in robotics and AI.
A curated list of SLAM (Simultaneous Localization and Mapping) resources for developers working in computer vision and robotics.
A Python library for training a humanoid robot to walk using reinforcement learning.
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