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arduino

arduino101

atom-core

:atom: The hackable text editor

cheatsheets

Compilation of useful commands/workflows for using Ubuntu, ROS, and related software

dockbot

docking

Development of ROS package that provides generalized docking solution for LiDAR equipped mobile robots

engr399

estop_rx

Reciever Code

fastapi-socketio

Easily integrate socket.io with your FastAPI app 🚀

fusion2urdf

A Fusion 360 Script to export URDF

gazebo_interactive_markers

habitlab

Build better habits online! Tell HabitLab your goals, and it will determine the appropriate interventions via experimentation.

icp_tf_matrix_varies_with_yaw

ira_laser_tools

All laser type assemblers and manipulators.

jetson_easy

Automatically script to setup and configure your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1, TK1] . This script run different modules to update, fix and patch the kernel, install ROS and other...

kalman-filters

logitech_f710

navigation_2d

ROS nodes to navigate a mobile robot in a planar environment

open_manipulator_tc

openmanipulator_morpheus_chair

openmanipulator_morpheus_chair_notebooks

platypus_doc

Manual about setting up Platypus boats

pure-bash-bible

📖 A collection of pure bash alternatives to external processes.

realsense_l515_error_rosbag

robond-camera-calibration

Camera Calibration images and notebook example

robond-deeprl-project

Deep Reinforcement Learning applied to the control of a 3 DOF robot arm using OpenAI Gym and Gazebo. Done as part of the Udacity Robotics Nanodegree.

robond-home-service-robot

An autonomous home service robot that can autonomously map an environment, and navigate to pickup and deliver objects. Capstone for Udacity Robotics Nanodegree Incorporates and requires implementation of all Mapping, Localization and Path Planning skills learnt from each navigation project.

robond-localization-project

Robots designed with URDF localize within a Gazebo simulated environment using the Adaptive Monte Carlo Localization ROS package.

robond-perception-project

robond-rtab-slam-project

SLAM implemented through Real-Time-Appearance-Based Mapping (RTAB) using a Kinect and simulated in a feature-rich customized environment. Done as part of the Udacity Robotics Nanodegree.