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| In pursuit of these goals, FAME will investigate the hypothesis that a knowledge representation and reasoning (KR&R) framework based on explicitly represented and machine-interpretable inner-world models can enable robots to contextualize underdetermined manipulation task requests at the first attempt. The robots will gain their knowledge and understanding autonomously from sources such as written instructions and how-to videos provided by websites like WikiHow.</WRAP> ^ | In pursuit of these goals, FAME will investigate the hypothesis that a knowledge representation and reasoning (KR&R) framework based on explicitly represented and machine-interpretable inner-world models can enable robots to contextualize underdetermined manipulation task requests at the first attempt. The robots will gain their knowledge and understanding autonomously from sources such as written instructions and how-to videos provided by websites like WikiHow.</WRAP> ^ |
| ^ {{:team:logo_eurobin193x54px.png?nolink&200|}} ^ **[[https://www.eurobin-project.eu//|euROBIN]]**: euROBIN is the Network of Excellence that brings together European expertise on Robotics and Artificial Intelligence (AI). It will establish a unified pan-European platform for research and development. For the first time, a large number of distinguished research labs across Europe are jointly researching AI-Based Robotics. As the lead beneficiary of the work package Know, the Institute of Artificial Intelligence at the University of Bremen will provide, consolidate, combine, and advance the knowledge representation and reasoning (KR&R) capabilities of the euROBIN network. ^ | ^ {{:team:logo_eurobin193x54px.png?nolink&200|}} ^ **[[https://www.eurobin-project.eu//|euROBIN]]**: euROBIN is the Network of Excellence that brings together European expertise on Robotics and Artificial Intelligence (AI). It will establish a unified pan-European platform for research and development. For the first time, a large number of distinguished research labs across Europe are jointly researching AI-Based Robotics. As the lead beneficiary of the work package "Know", the Institute of Artificial Intelligence at the University of Bremen will provide, consolidate, combine, and advance the knowledge representation and reasoning (KR&R) capabilities of the euROBIN network. ^ |
| | ^ {{:tmp:ai4hri_logo.png?nolink&200|}} ^ **AI4HRI** (Artificial Intelligence for Human-Robot Interaction): Europe and Japan both face problems of shrinking and aging population, and using social robots is seen as a possible way of alleviating demographic issues. Robots need to be able to interact with people and this is studied in the field of Human-Robot Interaction (HRI). But dealing with humans is difficult, and HRI is still not making enough use of AI technologies. The goal of the AI4HRI project is to both develop and integrate several AI methods which will allow social robots to appropriately deal with humans around them. This includes 3 abilities that are currently missing in HRI: knowledge management and reasoning, learning of social skills, and planning and executing joint human-robot actions. AI4HRI brings together three teams who have very complementary approaches to solving the issues addressed by the project. IAI has extensive expertise on knowledge management and reasoning, Kyoto University, Japan has large know-how in learning for social interactions, and LAAS-CNRS, France adds to that strong expertise in human-aware design and in joint action planning and execution. The project will benefit from their synergy. Importantly, the above abilities will be combined into a single open-source architecture and shared with other researchers. ^ |
| ^ {{:logo-ease-2019.png?nolink&200|}} ^**[[http://www.ease-crc.org|EASE]]** (SFB 1320) is a collaborative research center. EASE 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]]** (SFB 1320) is a collaborative research center. EASE 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.^ |
| ^ [[https://intel4coro.ai.uni-bremen.de|{{:kinect2_raw_nocalib.png?200|}}]] ^**[[https://intel4coro.ai.uni-bremen.de|IntEL4CoRo]]** designs and develops an immersive learning environment for Cognitive Robotics and AI. Based on the AVIVA model and a conceptual framework, coherent learning opportunities and materials will be developed.^ | ^ [[https://intel4coro.ai.uni-bremen.de|{{:kinect2_raw_nocalib.png?200|}}]] ^**[[https://intel4coro.ai.uni-bremen.de|IntEL4CoRo]]** designs and develops an immersive learning environment for Cognitive Robotics and AI. Based on the AVIVA model and a conceptual framework, coherent learning opportunities and materials will be developed.^ |
