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Date: Dec 15, 2020

Research Unit on robotics goes into the next round

The German Research Foundation extends the Research Unit 2535 "Anticipating Human Behavior" for three more years. Since 2017, scientists in the group have been investigating how artificial intelligence recognizes and anticipates human behavior. On the one hand, the researchers develop techniques to analyze complex interactions between humans and robots, and on the other hand, technologies for service robots. Due to demographic change, the importance of such robots is steadily increasing.

In recent years, there had been a tremendous progress in the capabilities of computer systems to classify image or video clips taken from the Internet or to analyze human pose in real-time for gaming applications. These systems, however, analyze the past or in the case of real-time systems the present with a delay of a few milliseconds. “For applications, where a moving system has to react or interact with humans, this is insufficient,” says Prof. Jürgen Gall, a computer scientist and the speaker of the Research Unit. “For instance, robots collaborating with humans need not only to perceive the current situation, but they need to anticipate human actions and the resulting future situations in order to plan their own actions.”

In their project, the researchers aim to develop the technology that lays the foundation for applications that require the anticipation of human behavior. Instead of addressing the problem at a limited scope, the project addresses all relevant aspects including time horizons ranging from milliseconds to hours and granularity ranging from detailed human motion to coarse action labels. “To ensure that the developed methods are not limited to a single task but can be applied for a large variety of applications, we do not solve sub-problems in isolation but address all relevant aspects jointly,” says Jürgen Gall. The goal is therefore to develop a framework that seamlessly anticipates human behavior at all levels ranging from discrete activity labels for long-term prediction to detailed human motion for short term prediction.

Read further here

 

DFG Research Unit 2535 “Anticipating Human Behavior”:  http://for2535.cv-uni-bonn.de/#/start

Contact:

Prof. Dr. Jürgen Gall
University of Bonn
Department of Information Systems and Artificial Intelligence
Email: [Email protection active, please enable JavaScript.]
Phone: +49 228 73 69600

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