Hi, my name is Bernhard. I am heading the robot system technologies research group at ROBOTICS - the institute for robotics and mechatronics in Klagenfurt, Austria.
In addition, I am an advisor to ALIAS Robotics S.L. (https://aliasrobotics.com). Together, we are pushing to make future robots secure.
My current research interests include robotics and especially software and security for modern robots. During my PhD I have engaged myself in resource-awareness for visual sensor networks, smart cameras and computer vision.
My overall vision is to enable future robots to be a trustworthy part of our everyday life. To achieve this, I am working on making robots secure on the one hand and on the other hand, I am engaging in ethical issues revolving around robots and future technologies. Further, we are working on the quality (especially testing) of robot sofware.
PhD in Information Technology, 2013
Alpen-Adria Universität Klagenfurt, Austria
DI in Applied Informatics, 2008
Alpen-Adria Universität Klagenfurt, Austria
In this transdisciplinary paper we discuss the question whether trust in human-robot-interaction (HRI) can be gained by gamification. Therefore, the concept of credibility will be introduced. A specific focus is on the question concerning the implementation of ethical rules in robotic safety systems. With a focus on Wittgenstein as a philosopher of technology we argue that in many fields of application cultural issues play a crucial role that cannot be controlled in a top-down approach. Instead, we follow a process-oriented bottom-up understanding of trust which pays attention to different social situations of normative practices. In order to combine our transdisciplinary philosophical and engineering points of view, a model for “gamifying trust” including ethical reflection as well as a short sketch of a possible technical implementation are presented
Modern robot systems are an essential technology for the digitalization of production and value-adding processes. The goal is to allow machines to operate in a common area with humans in so-called collaborative operation without separation by physical protective devices. This feature places particularly high demands on the fulfillment of robot safety, i.e., the safety of humans when handling the machine. This article focuses on the safe and reliable industrial use of mobile manipulators which are a combination of a mobile platform and a robot arm for object manipulation. The coordinated use of both robot systems enables a variety of new application scenarios and significantly increases flexibility. Mobile manipulators, however, pose complex challenges to their industrial integration as well as to safety and security in compliance with the legal and normative framework.
Today, visual sensor networks (VSNs) are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. A major concern in the use of sensor networks in general is their reliability in the presence of security threats and cyberattacks. Compared to traditional networks, sensor networks typically face numerous additional vulnerabilities due to the dynamic and distributed network topology, the resource constrained nodes, the potentially large network scale and the lack of global network knowledge. These vulnerabilities allow attackers to launch more severe and complicated attacks. Since the state-of-the-art is lacking studies on vulnerabilities in VSNs, a thorough investigation of attacks that can be launched against VSNs is required. This paper presents a general threat model for the attack surfaces of visual sensor network applications and their components. The outlined threats are classified by the STRIDE taxonomy and their weaknesses are classified using CWE, a common taxonomy for security weaknesses.
This paper discusses the need for a specialized vulnerability enumeration for robots and robot components and introduces the Robot Vulnerability Database (RVD)
In this paper, we describe a case study where we remotely disabled the safety subsystem of a MiR100 industrial mobile robot
Research project “Engineering proprioception in Computing Systems (EPICS)”
We are regularily providing software to the community as part of our work.
You can find an overview of our public projects at Github
The ROS Penetration Testing Tool can be used to explore the insecurity of the robot operating system (ROS).
Rosmap is a tool to scan dependencies and extract metrics from ROS repositories at large scale. This tool is described in our paper Can I depend on you? Mapping the dependency and quality landscape of ROS packages.
The ROS message parser is more of an internal project (however, read below). It is used to generate parsers for ROS message files and ROS message definitions from the wire protocol in .net core. The however: it contains a antlr grammar file that can be used to create corresponding parser in many other programm languages. This might be useful for some.
The Ella middleware was part of my work at the Alpen-Adria Universität. It is a publish-subscribe middleware written in native C#.
This is a software framework for evolutionary multi-objective optimization.
The goal of this project is to work on the technical fundamentals to make future robots credible (that is, perceivable trustworthy). We …
This project aims to increase the public awareness and discussion on robotics. We host different events to get in touch with the public …
In CollRob (Collaborative Robotics), we are working on new methods for human-robot collaboration.