Team Dynamic
Team dynamics research explores how individuals within groups interact and collaborate to achieve shared goals, focusing on optimizing performance and efficiency. Current research investigates this through various computational models, including agent-based models, generative adversarial networks, and large language models (LLMs), often applied to analyze and improve team workflows in diverse settings such as healthcare, industry, and robotics. These studies aim to enhance understanding of team structures, communication patterns, and decision-making processes, ultimately leading to improved team performance and the development of more effective human-AI collaborations.
Papers
Solving Vehicle Routing Problem for unmanned heterogeneous vehicle systems using Asynchronous Multi-Agent Architecture (A-teams)
Subramanian Ramasamy, Md Safwan Mondal, Pranav A. Bhounsule
Virtual Omnidirectional Perception for Downwash Prediction within a Team of Nano Multirotors Flying in Close Proximity
Akmaral Moldagalieva, Wolfgang Hönig
Autonomous Aerial Filming With Distributed Lighting by a Team of Unmanned Aerial Vehicles
Vít Krátký, Alfonso Alcántara, Jesús Capitán, Petr Štěpán, Martin Saska, Aníbal Ollero
Autonomous Reflectance Transformation Imaging by a Team of Unmanned Aerial Vehicles
Vít Krátký, Pavel Petráček, Vojtěch Spurný, Martin Saska