A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.
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Updated
Jul 18, 2024 - C++
A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.
Autonomous computer program that can do anything without human operators.
Monorepo of the Machine Intelligence Lab at the University of Florida
Software for guidance, navigation and control for the Vortex AUVs. Purpose built for competing in AUV/ROV competitions.
Deep Semantic Segmentation model training for row-based crops navigation.
Truevision Designer is a 3D tool to design roads, intersections and environments for testing and validating autonomous vehicles and robots.
A Unified Benchmark Environment for Autonomous Flying Robots
An Efficient Framework for Fast UAV Exploration
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles
A library for differentiable robotics.
This cutting-edge project employs autonomous driving technology to optimize warehouse operations. The AMR excels in navigating complex environments, avoiding obstacles, and improving efficiency using advanced SLAM and robust navigation.
The Servant Autonomous Garbage Collector Robot Project of JCN Electronics
Open source simulator for autonomous robotics built on Unreal Engine with support for Unity
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Odometry & Control"
Embark on a thrilling journey with the AutoRCX, empowered by the latest cutting-edge technology to conquer distances, race, and accomplish so much more. Get ready to drive into a world of endless excitement!
This repository contains the open-sourced codes and hardware designs of the Swarm Robot (heroswarmv2) designed at the Heterogeneous Robotics Research Lab (HeRoLab) at the University of Georgia.
An autonomous robot designed to navigate a grid, pick up and deliver virtual packages, and respond to traffic signals for an efficient courier service.
The Aarohan Project focuses on developing an advanced autonomous rover for Moon exploration. This project involves autonomous navigation using LiDAR and camera sensors, robust mobility systems, RF communication, and a 6-degree-of-freedom robotic arm for object. It aims to enhance obstacle avoidance, mobility, and task efficiency in complex terrains
ROS-based teleoperated and autonomous robot with PID control and sensor integration.
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