Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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Updated
Jul 3, 2024 - Python
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
This repo provides a set of functionalities for controlling an Autonomous Mobile Robot (AMR) in Sim-Env.
Controlling Vehicles with ROS1_bridge and ROS2 on Ubuntu 20.04 - AirSim Simulation Environment
This repository includes packages for control, simulation, and self-recongnition algorithm for modular quadrupedal robot, "Moonbot".
Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoftQ for path planning of swarm of mobile robots.
ROS NTRIP client
ros2_control robot examples with dynamixel_hardware
4WD Mecanum Mobile Robot ROS 1&2 Ready
library for metacontrol-based self-adaptation using ontological reasoning, with wrappers for robotic systems based on ROS1 and ROS2
In this repo we use Turtlebot 3 along with ROS 2 and Gazebo to explore an unknown csv environment, navigate through it and create a map
PolyVerif AV Validation Suite
Alexa Collaborative Conversation Voice Control using Alexa Conversation, Node-RED, Microsoft Azure and ROS / ROS2
Repository for ROS2 Python nodes for absolute beginners learning via TT102: Intro to Python for Robotics taught by Dr. Kshitij Tiwari
Jetbot Voice to Action Tools is a set of ROS2 nodes that utilize the Jetson Automatic Speech Recognition (ASR) deep learning interface library for NVIDIA Jetson
The project is divided in two tasks: classification by distributed Neural Network and Formation Control of a fleet of agents (possibly drones). The first one is completely done in Python, the second one is done in ROS2.
Visalisation regular drive record (e.g., '.csv' file) with kml and html
ROS2 foxy version_Convert ROS2 bag files to CSV, JSON, etc.
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