Studies of electrical engineering and information technology at Karlsruhe Institute of Technology (KIT). In 2013, bachelor’s thesis at the Institute of Control Systems (IRS). Internship in the Web-of-Things Research Group of Siemens AG in Berkeley CA/USA. Master’s thesis at the Institute of Control Systems (IRS) on “Inverse Optimization for Identification of Human Behavior in a Cooperative Scenario” (2016).

Since July 2016, scientist at IRS.

Modeling of cooperative goal negotiation processes
 

Although the level of automation increases constantly, there are cases in which complete automation is not reasonable due to too high development and implementation costs. In many cases, gradual transition from a purely manual operation mode to complete automation is advantageous.

An approach to solve the associated challenges is the cooperation of humans and automation. In this case, the partners’ individual strengths complement each other. Human beings can contribute flexibility and creativity, while automation contributes endurance and reliability.

Such cooperative systems can be applied in many areas, examples ranging from assistance systems in cars to medical and rehabilitation systems to distributed and networked computers of production plants in Industry 4.0.

When human beings and machines cooperate, they have to agree on their goal of action. Research is therefore aimed at describing the haptic agreement process of cooperating human beings. In addition, automation is to be enabled to take part in such an agreement process, to understand it, and to actively influence it in a suitable way. As a basis, novel distributed reasoning methods based on event-discrete hybrid systems might be used. Furthermore, classical control properties, such as the stability of the cooperative system, are researched.