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RasLab @ Florida State university
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🤖 Places where you can learn robotics (and stuff like that) online 🤖
SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave
MCP_CAN Library
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Large-scale, multi-robot simulation of a teeming warehouse in Open 3D Engine (O3DE), to be presented at ROSCon2023
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
A Python library that enables the use of Jetson's GPIOs
The program codes are used for producing simulation results in the article : Tomonori Sadamoto, Aranya Chakrabortty, Takayuki Ishizaki, and Jun-ichi Imura "Dynamic Modeling, Stability, and Control …
Common used path planning algorithms with animations.
A lightweight conic solver for second-order cone programming.
😎 A curated list of robotics libraries and software
Python sample codes for robotics algorithms.
A modern C++ scientific plotting library powered by gnuplot
A new, customizable Arduino NMEA parsing library
GPT-powered chat for documentation, chat with your documents
Quanergy ROS driver sample source
Open source hardware and software platform to build a small scale self driving car.
A set of packages which contain common interface files (.msg and .srv).
Autoware - the world's leading open-source software project for autonomous driving
irobot-ros / rclcpp
Forked from ros2/rclcpprclcpp (ROS Client Library for C++)
Automagical css image gallery in Hugo using shortcodes, with optional lightbox/carousel gadget using PhotoSwipe and jQuery.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Codes related to answers on StackExchange Network.
An autonomous AI racecar using NVIDIA Jetson Nano
lhzlhz / PilotNet
Forked from AutoDeep/PilotNetA Deep Learning Beginner: Nvidia's End to End Learning on Steering for Self-Driving Cars
The official document of the dataset is too general. There are many missing details. This document aims at making it more convenient to use the dataset.