Optical Experiment
Optical experiments encompass a broad range of research employing light-based techniques to investigate diverse phenomena, from urban planning and traffic flow optimization to satellite navigation and fundamental physics. Current research emphasizes the application of machine learning, particularly deep learning models and reinforcement learning algorithms, to analyze experimental data, optimize experimental design, and improve the efficiency of simulations. These advancements are significantly impacting various fields, enabling more efficient data analysis, improved decision-making in complex systems, and the development of novel technologies in areas such as autonomous systems and space exploration.
Papers
Titanic Calling: Low Bandwidth Video Conference from the Titanic Wreck
Fevziye Irem Eyiokur, Christian Huber, Thai-Binh Nguyen, Tuan-Nam Nguyen, Fabian Retkowski, Enes Yavuz Ugan, Dogucan Yaman, Alexander Waibel
Synthetic Interlocutors. Experiments with Generative AI to Prolong Ethnographic Encounters
Johan Irving Søltoft, Laura Kocksch, Anders Kristian Munk
Control System Design and Experiments for Autonomous Underwater Helicopter Docking Procedure Based on Acoustic-inertial-optical Guidance
Haoda Li, Xinyu An, Rendong Feng, Zhenwei Rong, Zhuoyu Zhang, Zhipeng Li, Liming Zhao, Ying Chen
Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models
Daniel Albert, Stephan Billinger