Stefan Schiffer

Learn More
Being part of the RoboCup initiative, the ROBOCUP@HOME league targets the development and deployment of autonomous service and assistive robot technology being essential for future personal domestic applications. The domain of domestic service and assistive robotics implicates a wide range of possible problems. The primary reasons for this include the large(More)
We present a system for detecting and recognizing faces in images in real-time which is able to learn new identities in instants. In mobile service robotics, interaction with persons is becoming increasingly important, real-time performance is required and the introduction of new persons is a necessary feature for many applications. Although face detection(More)
Benchmarking robotic technologies is of utmost importance for actual deployment of robotic applications in industrial and every-day environments, therefore many efforts have recently focused on this problem. Among the many different ways of benchmarking robotic systems, scientific competitions are recognized as one of the most effective ways of rapid(More)
Most of the robots in the ROBOCUP soccer league are made especially for the task of playing soccer. They use methods that are specifically designed for the soccer domain and would perhaps fail in other robotic testbeds such as the newly established ROBOCUP@HOME league without making fundamental changes throughout their entire software system. In contrast,(More)
Mobile service robots in human environments need to have versatile abilities to perceive and to interact with their environment. Spoken language is a natural way to interact with a robot, in general, and to instruct it, in particular. However, most existing speech recognition systems often suffer from high environmental noise present in the target domain(More)
Specifying the behavior of an intelligent autonomous robot or agent is a non-trivial task. The question is: how can the knowledge of the domain expert be encoded in the agent program? Qualitative representations in general facilitate to express the knowledge of a domain expert. In this paper, we propose a semantics for qualitative fluents in the situation(More)
In this paper, we present a thorough integration of qualitative representations and reasoning for positional information for domestic service robotics domains into our high-level robot control. In domestic settings for service robots like in the RoboCup@Home competitions, complex tasks such as “get the cup from the kitchen and bring it to the living room”(More)
In this paper we present Caesar, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human-robot interaction that account for qualitative notions used in natural language as well as human(More)