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Research Topics

Autonomous Systems

Autonomous systems act independently, learn, solve complex tasks and can react to unpredictable events. This does not only refer to classical robots but also to intelligent machines, devices or software systems that are used in special areas in the interest of humans. For example, the mobility of the future will be determined by autonomous vehicles. Autonomous systems will also support disabled people in the domestic environment. In addition, they will be able to interact flexibly with workers in production and act independently where it is too dangerous for people. Artificial intelligence provides the key technologies in the areas of machine learning, cyber security and agile IT infrastructures that are crucial for the further development and use of autonomous systems.

News

Projects

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  1. AI-REEFSHIELD - Al-driven Robotic Ecosystem Exploration Framework for Securing Habitat Integrity and Life Diversity

    The AI-REEFSHIELD project aims to develop an AI-supported learning and robotics system for monitoring marine restoration areas, in particular for the reintroduction of the European oyster in the North…

  2. InnovAIte Slovakia - InnovAIte Slovakia: Illuminating Pathways for AIDriven Breakthroughs

    InnovAIte Slovakia seeks to build a dynamic and sustainable innovation ecosystem in the field of artificial intelligence (AI), effectively linking cutting-edge research with practical applications.…

  3. FieldCoBots - KMU-innovativ Verbundprojekt: Heterogene Feldrobotik für die Erdbeerernte (FieldCoBots); Teilprojekt: Verwaltung hybrider Mehrrobotersysteme im Zusammenspiel mit menschlichen Akteure

    Global competition in fruit production and the local shortage of harvest workers require innovative autonomous robotic systems that work together with humans. For some crops, a largely automated…

  4. COPPER - Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In…

  5. RAASCEMAN - Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

    The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate…