Georg Adrian Novotny

Georg Adrian Novotny

Georg Novotny is a part-time lecturer at UAS Technikum Vienna, where he teaches mobile robotics and is actively involved in the development of search and rescue robots. Alongside his work at UAS, he works as a platform engineer at MIC-Cust. Georg is also currently pursuing his PhD at JKU, where he is focused on system identification and parameter estimation of vehicles and robots. With his expertise in robotics and engineering, Georg is dedicated to advancing the field of autonomous systems and developing cutting-edge technologies that improve our lives.

Development of a ROS-Based Architecture for Intelligent Autonomous on Demand Last Mile Delivery

Published in Computer Aided Systems Theory - EUROCAST 2022, 2023

Abstract: This paper presents the development of the JKU-ITS Last Mile Delivery Robot. The proposed approach utilizes a combination of one 3D LIDAR, RGB-D camera, IMU and GPS sensor on top of a mobile robot slope mower. An embedded computer, running ROS1, is utilized to process the sensor data streams to enable 2D and 3D Simultaneous Localization and Mapping, 2D localization and object detection using a convolutional neural network.

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Recommended citation: bib

@inproceedings{Novotny2022,
  author    = {Georg Novotny and Walter Morales-Alvarez and Nikita Smirnov and Cristina Olaverri-Monreal},
  city      = {Cham},
  editor    = {Roberto Moreno-Díaz and Franz Pichler and Alexis Quesada-Arencibia},
  isbn      = {978-3-031-25312-6},
  journal   = {Computer Aided Systems Theory – EUROCAST 2022},
  pages     = {337-344},
  publisher = {Springer Nature Switzerland},
  title     = {Development of a ROS-Based Architecture for Intelligent Autonomous on Demand Last Mile Delivery},
  year      = {2022}
}

Recommended citation: Novotny, G., Morales-Alvarez, W., Smirnov, N., & Olaverri-Monreal, C. (2022). Development of a ROS-Based Architecture for Intelligent Autonomous on Demand Last Mile Delivery. In R. Moreno-Díaz, F. Pichler, & A. Quesada-Arencibia (Eds.), Computer Aided Systems Theory – EUROCAST 2022 (pp. 337–344). Springer Nature Switzerland.