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| ^ {{:logo-ease-2019.png?nolink&200|}} ^**[[http://www.ease-crc.org|EASE]]** is a collaborative research center. EASE we will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.^ | ^ {{:logo-ease-2019.png?nolink&200|}} ^**[[http://www.ease-crc.org|EASE]]** is a collaborative research center. EASE we will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.^ |
| ^ {{:projects:remaro.png?nolink&200|}} ^The REMARO project address the challenge of the development of reliable AI-system that can act in new activities under water. The goal is to design brains for robots that enables robots to act safely while allowing them to improve by self-learning. ^ | ^ {{:projects:remaro.png?nolink&200|}} ^The REMARO project address the challenge of the development of reliable AI-system that can act in new activities under water. The goal is to design brains for robots that enables robots to act safely while allowing them to improve by self-learning. Three project partners are from Bremen: DFKI, ROSEN Group, and the Institute of Artificial Intelligence at the University of Bremen.^ |
| ^ {{:projects:ki-campus_logo_mitimprover_blau.png?nolink&200|}} ^develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents. ^ | ^ {{:projects:ki-campus_logo_mitimprover_blau.png?nolink&200|}} ^develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents. ^ |
| ^ {{:research:logo_sfbfz.png?200|}} ^ The initiative **[[https://www.uni-bremen.de/farbige-zustaende.html|Farbige Zustände]]** aims at the development of a novel experimental method for the development of metallic structural materials. The overall aim is the efficient and focused identification of compositions and process chains which result in a specific performance profile of the material. Conventional materials developments are based on costly experimental investigations of chemical, mechanical or technological material properties. The IAI uses methods of AI and machine learning to predict materials properties based on relationships extracted from experimental data and semantic knowledge. ^ | ^ {{:research:logo_sfbfz.png?200|}} ^ The initiative **[[https://www.uni-bremen.de/farbige-zustaende.html|Farbige Zustände]]** aims at the development of a novel experimental method for the development of metallic structural materials. The overall aim is the efficient and focused identification of compositions and process chains which result in a specific performance profile of the material. Conventional materials developments are based on costly experimental investigations of chemical, mechanical or technological material properties. The IAI uses methods of AI and machine learning to predict materials properties based on relationships extracted from experimental data and semantic knowledge. ^ |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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