
Real Time Gesture Control System with EMG
This project implements real-time gesture classification using the uMyo EMG sensors. The system is designed to be used for precision control applications, such as controlling a robotic arm or a drone.
Student Robotics and Artificial Intelligence at AAU Klagenfurt | Technical Writer
This project implements real-time gesture classification using the uMyo EMG sensors. The system is designed to be used for precision control applications, such as controlling a robotic arm or a drone.
Through a series of collaborative competitions, the Sapience initiative fosters innovation in search and rescue operations, enabling multiple drones to effectively navigate and map GPS-denied environments, detect and deliver aid to victims, and perform complex cooperative tasks.
This page contains a short collage of some of the hardware projects I worked on over the years, starting with school projects created when I was studying at HTL Mössingerstraße. Coil gun / Coil wind
HASCY is a remote-controlled sled that drives on a rail that is mounted at the top of a tunnel. It is equipped with multiple sensors, including a thermal and optical PTZ camera, and therefore is able to provide visual information to the Asfinag operators as well as emergency services.
Using either the TFJS Task API or the TFLITE Web API you can now deploy Tensorflow Lite models on the web without even needing to convert them into Tensorflow.js format.
The TensorFlow Lite Model Maker library is a high-level library that simplifies the process of training a TensorFlow Lite model using a custom dataset. It uses transfer learning to reduce the amount of training data required and shorten the training time.
D2Go is a production-ready software system from FacebookResearch, which supports end-to-end model training and deployment for mobile platforms.
TensorFlow.js is a deep learning library providing you with the power to train and deploy your favorite deep learning models in the browser and Node.js.
With the recently released official Tensorflow 2 support for the Tensorflow Object Detection API, it's now possible to train your own custom object detection models with Tensorflow 2.
Learn how to use the Tensorflow Object Detection API with Tensorflow 2
Gilbert Tanner is a robotics researcher and Bachelor student at the University of Klagenfurt.
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