[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
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Updated
Jul 1, 2024 - Python
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
🐆 Panther is an Open Robotic AGV platform ROS based for Outdoor and Indoor enviroments.
My Diploma Thesis on ArDrone 2.0 and Turtlebot2 collaboration for efficient exploration of unknown space.
Alfred is an open-source UGV platform built at IIIT-Delhi capable of emulating a full self-driving vehicle. Alfred is equipped with Intel NUC 12 Pro, NVIDIA AGX Orin, Intel Realsense D455, and Velodyne VLP-16 LiDAR, facilitating comprehensive evaluations and development state-of-the-art algorithms for mobile robotics.
This project involves an autonomous indoor navigation system for a UGV using the ROS 2 Navigation Stack. It integrates SLAM, AMCL localization, global path planning with A*, and local obstacle avoidance via a Model Predictive Path Integral controller. LiDAR handles mapping and navigation, while a depth camera aids in close-range obstacle detection,
Multi Robot System developed for ROS2 Humble, allows the easy incorporation of several robot models with little configuration. There is no limit on the number of robots, if you incorporate UGV you can provide your parameter file for autonomous navigation.
open source personal project on unmanned ground vehicle
Project Tango is a development testbed built from scratch to gain experience in fields of Electronics, Mechanical design, and Robot Operating System.
A modular multi-UAV navigation simulator featuring A*, RRT, Potential Fields, Elastic Band smoothing, dynamic obstacles, and real-time visualization.
Team Blue Jays; Based on Turtlebot and Orbbec Astra
This project aims to develop a Cyber-Physical System (CPS) architecture that uses IoT sensors and a ROS-based UAV to supplement traditional firefighting methods.
The development included the use of UGVs and ROS2 Humble, applying object-oriented programming techniques and robust design patterns. The results confirmed that, under the master-slave structure, the system completes all assigned tasks, even in the event of failure of one or more robots.
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