Institute for Artificial Intelligence

License: New and Simplified BSD licenses

Web Page: https://ai.uni-bremen.de/teaching/gsoc2015

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The Institute for Artificial Intelligence (IAI) at the University of Bremen, Germany, headed by Prof. Michael Beetz, investigates methods for cognition-enabled robot control. The research is at the intersection of robotics and Artificial Intelligence (AI) and includes methods for intelligent perception, dexterous object manipulation, plan-based robot control, and knowledge representation for robots. Robots performing complex tasks in open domains, such as assisting humans in a household or collaboratively assembling products in a factory, need to have cognitive capabilities for interpreting their sensor data, understanding scenes, selecting and parameterizing their actions, recognizing and handling failures and interacting with humans. In our research, we are developing solutions for these kinds of issues and implement and test them on the robots in our laboratory. A particular focus of the group is on the integration of individual methods into complete cognition-enabled robot control systems and the release of the developed software as open-source libraries.

Projects

• Report Card Generation from Robot Mobile Manipulation Activities The main goal of the project is to provide robotics research environment with succinct report of manipulation activities performed by a robot. To this end, an automated Report Card generation tool will be developed as an extension of widely used CRAM system. Such Report Card will consist of basic robot performance measures that are easy to view, read and interpret, therefore, time-consuming raw data analysis that needed additional statistical knowledge won’t be necessary.
• Thesis on Multi-modal Big Data Analysis for Robotic Manipulation Activities Everyday manipulation activities require complex cognitive abilities: Seeing, feeling and comprehending complex environmental and self-relational knowledge. I will work on further empowering Boxy in performing his tasks successfully through working on better analyzing the data generated by his actions. Robotics + Cognitive Science.