Home on Gilbert Tanner

Sign Language Interpreter

Tue, 24 Feb 2026 00:00:00 +0000

Building a pipeline that converts spoken language into continuous sign language motions for a humanoid robot.

SAPIENCE - Sense & Avoid - a cooPeratIvE droNe CompEtition

Fri, 15 Nov 2024 12:56:23 +0000

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.

HASCY - HTLs Asfinag Safety Cat

Sun, 22 Oct 2023 13:13:11 +0000

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.

TransformerBot – Multi-Mission Ground/Drone Platform

Sat, 20 Dec 2025 22:01:27 +0000

This project presents a multi-mission transformer robot capable of operating both as a ground vehicle and a quadrotor drone.
The design integrates constant-velocity (CV) joints, slip rings, and a servo-driven lifting mechanism to enable seamless transformation between driving and flying modes.

We also utilize the dual-use wheel-propeller system, where each wheel houses a brushless drone motor (BLDC) and propeller. This allows the same structure to serve as a rolling surface in ground mode and as an active rotor in drone mode, minimizing redundant components.

Real Time Gesture Control System with EMG

Thu, 06 Mar 2025 20:46:42 +0000

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. On that front we implemented two demos controlling a simulation drone via Ardupilot Gazebo simulation and a Ryze Tello drone in real life.

The project was implemented as part of the Pervasive Computing Lab course (24W) at the University of Klagenfurt.

Turtlebot3 DRL Navigation

Thu, 27 Feb 2025 20:00:00 +0000

Extended an existing Deep Reinforcement Learning navigation framework to support the TurtleBot3 platform with realistic 2D LiDAR observations, and migrated the full system from ROS 1 to ROS 2.

The project enables training DRL agents for goal-directed mobile robot navigation with obstacle avoidance in Gazebo, using LiDAR-based state representations and velocity-based control tailored to TurtleBot3 kinematics. To accelerate experimentation, the simulation can be executed at increased real-time factors while maintaining stable learning dynamics.

Project collection

Mon, 11 Dec 2023 15:17:40 +0000

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 winder

Start: 11.2017
Project members:
- Gilbert Tanner
- Gabriel Tanner
- Alexander Pichler
- Aaron Armbruster
Project supervisor:
- Herwig Guggi

Figure 2: Coil gun / Coil winder

Self Driving RC car

Start: 10.2018
Project members:
- Gilbert Tanner
- Gabriel Tanner
- Alexander Pichler
- Aaron Armbruster
Project supervisor:
- Herwig Guggi
Original homepage: https://projectbusters.github.io/self-driving-car/

Figure 3: Self Driving RC car

Multiagent Simulation for Drones, Ground Robots & Fixed Wings with Gazebo

Wed, 01 Apr 2026 00:00:00 +0000

A comprehensive guide to setting up multiagent simulation environments for PX4 and ArduPilot with Gazebo, covering namespacing, sensor configuration, and external odometry.

Run TFLITE models on the web

Wed, 03 Nov 2021 10:07:07 +0000

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.

TFLite Object Detection with TFLite Model Maker

Thu, 17 Jun 2021 13:34:14 +0000

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 - Use Detectron2 on mobile devices

Sat, 20 Mar 2021 10:40:07 +0000

D2Go is a production-ready software system from FacebookResearch, which supports end-to-end model training and deployment for mobile platforms.

Tensorflow.js Crash-Course

Mon, 28 Dec 2020 11:30:42 +0000

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.

Tensorflow Object Detection with Tensorflow 2: Creating a custom model

Mon, 27 Jul 2020 18:26:37 +0000

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.

Tensorflow Object Detection with Tensorflow 2

Mon, 13 Jul 2020 17:02:19 +0000

Learn how to use the Tensorflow Object Detection API with Tensorflow 2

Arduino Nano 33 BLE Sense Overview

Tue, 07 Jul 2020 18:36:19 +0000

The Arduino Nano 33 BLE Sense is an evolution of the traditional Arduino Nano, but featuring a lot more powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz.

Run PyTorch models on the Jetson Nano with TensorRT

Sat, 04 Jul 2020 07:35:30 +0000

Use TensorRT to run PyTorch models on the Jetson Nano.

Run Tensorflow models on the Jetson Nano with TensorRT

Tue, 30 Jun 2020 18:36:46 +0000

Run Tensorflow model on the Jetson Nano by converting them into TensorRT format.

Jetson Nano YOLO Object Detection with TensorRT

Tue, 23 Jun 2020 07:09:11 +0000

YOLO Object Detection on the Jetson Nano using TensorRT

Getting Started With NVIDIA Jetson Nano Developer Kit

Mon, 15 Jun 2020 09:57:16 +0000

The NVIDIA Jetson Nano Developer Kit is a small edge computer for AI development. The Jetson Nano Developer Kit packs a Quad-core ARM A57 CPU with a clock-rate of 1.43GHz and 4GB of low-power DDR4 Memory.

YOLO Object Detection in PyTorch

Mon, 08 Jun 2020 17:14:56 +0000

Train a custom yolo object detection model in PyTorch

YOLO Object Detection with keras-yolo3

Mon, 01 Jun 2020 08:19:34 +0000

Use and create YOLOV3 models with keras-yolo3.

YOLO Object Detection with OpenCV

Mon, 25 May 2020 09:08:35 +0000

Use YOLOv3 with OpenCV to detect objects in both images and videos.

YOLO Object Detection Introduction

Mon, 18 May 2020 18:56:05 +0000

Learn how to use YOLO for Object Detection.

Getting started with Mask R-CNN in Keras

Mon, 11 May 2020 15:02:58 +0000

Getting started with Mask R-CNN in Keras

Train a Mask R-CNN model with the Tensorflow Object Detection API

Mon, 04 May 2020 13:40:01 +0000

Create a custom Mask R-CNN model with the Tensorflow Object Detection API.

Detectron2 Train a Instance Segmentation Model

Mon, 13 Apr 2020 20:00:00 +0000

Learn how to create a custom instance segmentation model using Detectron2.

Getting started with LoraWAN and The Things Stack

Wed, 26 Feb 2020 09:44:13 +0000

The LoRaWAN® specification is a Low Power, Wide Area (LPWA) networking protocol designed to wirelessly connect battery operated 'things' to the internet in regional, national or global networks.

Introduction to LoRa

Mon, 17 Feb 2020 10:13:06 +0000

LoRa is a spread spectrum modulation technique derived from chirp spread spectrum (CSS) technology. LoRa allows for long-range, low power wireless communication, often applied in IoT (Internet of Things) applications.

Creating math animations in Python with Manim

Mon, 03 Feb 2020 08:12:51 +0000

Creating math animations in Python with Manim, a mathematical animation engine made by 3Blue1Brown

Convert your Tensorflow Object Detection model to Tensorflow Lite.

Mon, 27 Jan 2020 15:07:35 +0000

Use your Tensorflow Object Detection model on edge devices by converting them to Tensorflow Lite.

Deploying your Streamlit dashboard with Heroku

Tue, 31 Dec 2019 08:23:50 +0000

Deploy your Streamlit application using Heroku, a platform as a service (PaaS)

Interpreting PyTorch models with Captum

Mon, 16 Dec 2019 08:52:47 +0000

Interpret PyTorch models with Captum.

Detectron2 - Object Detection with PyTorch

Mon, 18 Nov 2019 10:17:14 +0000

Detectron2 is Facebooks new vision library that allows us to easily us and create object detection, instance segmentation, keypoint detection and panoptic segmentation models. Learn how to use it for both inference and training.

Turn your data science scripts into websites with Streamlit

Thu, 31 Oct 2019 17:16:49 +0000

Turn your data science scripts and projects into beautiful websites/dashboards using Streamlit.

Introduction to Machine Learning in C# with ML.NET

Sun, 15 Sep 2019 10:00:00 +0000

One of the most popular languages today is C# which is used for many applications. To use the power of Machine Learning in C# Microsoft created a package called ML.NET which provides all the basic Machine Learning functionality.

Local Model Interpretation: An Introduction

Sun, 18 Aug 2019 10:00:00 +0000

Local model interpretation is a set of techniques aimed at answering questions like: Why did the model make this specific prediction? What effect did this specific feature value have on the prediction?

Hands-on Global Model Interpretation

Mon, 05 Aug 2019 10:00:00 +0000

Global model interpretation is a set of techniques that helps us to answer questions like how does a model behave in general? What features drive predictions and what features are completely useless for your cause.

Google Coral USB Accelerator Introduction

Mon, 27 May 2019 10:00:00 +0000

The Google Coral Edge TPU allows edge devices like the Raspberry Pi or other microcontrollers to exploit the power of artificial intelligence.

Introduction to Machine Learning Model Interpretation

Mon, 13 May 2019 19:34:00 +0000

Regardless of what problem you are solving an interpretable model will always be preferred because both the end-user and your boss/co-workers can understand what your model is really doing.

Creating your own object detector with the Tensorflow Object Detection API

Wed, 06 Feb 2019 12:00:00 +0000

Learn how to create your own object detector using the Tensorflow Object Detection API.

Introduction to Data Visualization in Python

Wed, 23 Jan 2019 12:00:00 +0000

Get started visualizing data in Python using Matplotlib, Pandas and Seaborn

Introduction to Deep Learning with Keras

Wed, 09 Jan 2019 14:00:00 +0000

Learn the basics of Keras, a high-level library for creating neural networks running on Tensorflow.

Scraping Reddit data

Sat, 05 Jan 2019 12:00:00 +0000

Scrape data from Reddit using PRAW, the Python wrapper for the Reddit API.

Building a book Recommendation System using Keras

Thu, 22 Nov 2018 12:00:00 +0000

Build a system that is able to recommend books to users depending on what books they have already read using the Keras deep learning library.

Generating text using a Recurrent Neural Network

Mon, 29 Oct 2018 12:00:00 +0000

Generating text in the style of Sir Arthur Conan Doyle using a RNN

About

Mon, 01 Jan 0001 00:00:00 +0000

Gilbert Tanner (2021)

Gilbert Tanner is a robotics researcher and currently is doing his Master in Robotics, Systems and Control at ETH Zürich. For his Bachelor he studied Robotics and Artificial Intelligence at the University of Klagenfurt where he also worked on multi-agent drone research. In high-school he studied Electronics and Computer Science at HTL Mössingerstraße. For his diploma project, he worked on ‘HASCY – HTLs Asfinag Safety Cat’, a rail-bound sledge for tunnel security created in cooperation with the ASFINAG and HTL Lastenstraße, which was turned into an industrial project after graduation.