Name: Russ Hall
Type: User
Company: Perfect Security LLC
Bio: Electronic Tech at Grand Island, Nebraska, USA . Computing since 1983. Programming and online since 1985. Building robots since 2007.
Location: Hastings, NE, USA
Blog: perfectsecurity.us
Russ Hall's Projects
ROS packages for DIY driverless car/autonomous vehicle development
Source for Tutorials, Manuals, Software and Downloads pages on husarion.com webpage.
A documentation generator for Julia.
🤖🐑 It's a sheep, it's a dolly, it's a following robot. Dolly was born to be cloned.
self driving car
Official doxygen git repository
Official code and checkpoint release for "GNM: A General Navigation Model to Drive Any Robot".
DSOL: Direct Sparse Odometry Lite
Uses the dVRK (https://github.com/jhu-dvrk/dvrk-ros) and ros_ovr_sdk (https://github.com/OSUrobotics/ros_ovr_sdk) ROS packages to allow the manipulators of the da Vinci Surgical System to be controlled by an Oculus Rift headset. Ultimate goal is to allow the surgeon to control the endoscope with the movement of their head and view the feed through the display.
This is the api with examples provided by decaWave and modify by me to make it work thru UART with Raspberry Pi 3B
Simple C examples for Decawave DWM1001 hardware
Anchor/Tag Configuration using Decawave DWM1000 UWB radios | Indoor Localization
This repo creates an interface from dwm1001 dev-board into ROS enviroment. UWB
Dynamic Robot Localization
AI / Deep Neural Network Models and Examples
Effective Robotics Programming with ROS
PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic
Real-time dense visual SLAM system
Robot-centric elevation mapping for rough terrain navigation
a simple elevator_game with python
This project builds a ROS-based Autonomous Robot from scratch
ROS IMU driver package for the Ultimate Sensor Fusion Solution - LSM6DSM + LIS2MD MPU9250 EM7180 Sensor Hub IMU
Quadrature Encoder Library for Arduino
Quick encryption of text files, and decryption
Official page of ERASOR RA-L with ICRA'21
End-to-End Speech Processing Toolkit
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit