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| ^ {{:team:tracebot_logo_2021_rgb.png?nolink&200|}} ^ **TraceBot** (Traceable Robotic Handling of Sterile Medical Products): The TraceBot project, supported by the European Union's H2020-EU.2.1.1 program, is an initiative aimed at enhancing robotic capabilities in healthcare and laboratory environments through technological innovation. The project's primary objective is to develop robotic systems capable of executing verifiable actions within a traceability framework, supported by knowledge-based digital-twin technology. This approach allows for tracking and validation of robotic actions, crucial in processes such as the production and sterility testing of medical products. By incorporating these advanced robotic solutions, TraceBot contributes to increasing precision, safety, and operational efficiency in medical and laboratory settings. ^ | ^ {{:team:tracebot_logo_2021_rgb.png?nolink&200|}} ^ **TraceBot** (Traceable Robotic Handling of Sterile Medical Products): The TraceBot project, supported by the European Union's H2020-EU.2.1.1 program, is an initiative aimed at enhancing robotic capabilities in healthcare and laboratory environments through technological innovation. The project's primary objective is to develop robotic systems capable of executing verifiable actions within a traceability framework, supported by knowledge-based digital-twin technology. This approach allows for tracking and validation of robotic actions, crucial in processes such as the production and sterility testing of medical products. By incorporating these advanced robotic solutions, TraceBot contributes to increasing precision, safety, and operational efficiency in medical and laboratory settings. ^ |
| ^ {{: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|{{:intel4coro_logo.png?200|}}]] ^**[[https://intel4coro.ai.uni-bremen.de|IntEL4CoRo]]**'s aim is to develops an immersive learning environment for Cognitive Robotics that holistically supports students and teachers.\\ Through an AI-based robot control system integrated in the learning environment, students will be able to interactively experience the course material and perform programming exercises with software components that can run on real robots: In this way, students will be able to grasp the cognitive robotics concepts taught in the courses in a hands-on way.\\ In addition to solving small programming problems, the learning environment will also enable the completion of bachelor's and master's theses, team-based software development projects and competitions.\\ The comprehensive development and simulation environment will be combined with innovative didactic concepts such as the AVIVA model, which allows students to determine the most appropriate learning path for their level of knowledge and skills through self-assessment tools. As an open educational resource, IntEL4CoRo will be accessible to students and teachers for open use.^ |
| ^ {{:projects:remaro.png?nolink&200|}} ^The **[[https://remaro.eu/|REMARO]]** project addresses the challenge of the development of a reliable AI system that can act on new underwater activities. The goal is to design brains for robots that enable 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:remaro.png?nolink&200|}} ^The **[[https://remaro.eu/|REMARO]]** project addresses the challenge of the development of a reliable AI system that can act on new underwater activities. The goal is to design brains for robots that enable 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|}} ^**[[http://improver.uni-bremen.de/|IMPROVER]]** 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|}} ^**[[http://improver.uni-bremen.de/|IMPROVER]]** develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents. ^ |
