Logo des Repositoriums

Auflistung nach Schlagwort "autonomous systems"

1 - 3 von 3
  • Konferenzbeitrag
    Assessment of ground conditions in grassland on a mower with artificial intelligence
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Manss, Christoph; Martel, Viktor; Weisgerber, Roman
    Process-monitoring for autonomous mowers in agriculture is crucial to establish an online quality assessment. Here, neural networks (NNs) are employed to classify ground conditions, distinguishing between dry, mowed, unplanted, and grass. The data comprises RGB images that are captured by a camera mounted on a mower. These images are then used to train various NNs, with EfficientNet_V2_s emerging as the most accurate network and with ResNet18 to be the most efficient network in terms of training duration and accuracy. The study also reveals for this use-case that employing transfer learning enhances the overall network performance. The developed NNs is intended for deployment on mowers, enabling them to adjust their mowing blades, conserve energy, and enhance the quality of mowed grass. Beyond mowing, the NN can be applied in process control and the identification of other plant species or weeds in the agricultural field, contributing to biodiversity assessments and more sustainable farming practices.
  • Konferenzbeitrag
    Assisting Service Robots on their Journey to become Autonomous Agents: From Apprentice to Master by Participatory Observation
    (Mensch und Computer 2019 - Tagungsband, 2019) Golchinfar, David; Vaziri, Daryoush; Stevens, Gunnar; Schreiber, Dirk
    Natural and reliable application of service robots (SR) in service domains, for instance health service or elderly care, is currently not possible and full autonomy and automatization of SR is still in far distance. Hence, methodologies are needed that promote human-robot collaboration and allow the robot to learn from its human mentor to become more autonomous and reliable. This demo illustrates an environment for such human-robot collaboration that provides an infrastructure for SR manipulation and teaching. The basic idea is that the robot becomes an apprentice that learns new skills by observing a trained human mentor that performs relevant tasks in the service domain by operating the robot. By observation and collaboration, the SR gradually becomes more autonomous and capable to carry out relevant healthcare tasks.
  • Konferenzbeitrag
    Risk Mitigation Strategies in High Automation
    (Software Engineering and Software Management 2019, 2019) Gleirscher, Mario
    The work underlying this presentation is titled “From Hazard Analysis to Hazard Mitigation Planning: The Automated Driving Case,” accepted as a peer-reviewed full technical paper at the “NASA Formal Methods Symposium (NFM 2017),” published in April 2017.