Beschreibung:
Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner
Affecta-Context: The Context-Guided Behavior Adaptation Framework.- LTS-NET: End-To-End Unsupervised Learning of Long-Term 3D Stable Objects.- EA-Repose: Efficient and Accurate Feature-Metric-Based 6D Object Pose Refinement Via Deep Reinforcement Learning.- Chop-SAT: A New Method for Knowledge-Based Agent Decision Making.- Performance Comparison of SAC Methods for Radar Dynamic Object Classification.- Sim2Real When Data Is Scarce: Image Transformation for Industrial Applications.- Give Pedestrian More Choice: Socially Aware Navigation Using Reinforcement Learning with Human Action Entropy Maximization.- Data Aggregation (DAgger) Algorithm Using Adversarial Agent Policy for Dynamic Situations.- Target Acquisition by Reinforcement Learning-Based Bin Tilting with a Robotic Arm