In many joint-action scenarios, humans and robots have to coordinate their movements to accomplish a given shared task. Lifting an object together, sawing a wood log, transferring objects from a point to another are all examples where motor coordination between humans and machines is a crucial requirement. While the dyadic coordination between a human and a robot has been studied in previous investigations, the multi-agent scenario in which a robot has to be integrated into a human group still remains a less explored field of research. In this paper we discuss how to synthesise an artificial agent able to coordinate its motion in human ensembles. Driven by a control architecture based on deep reinforcement learning, such an artificial agent will be able to autonomously move itself in order to synchronise its motion with that of the group while exhibiting human-like kinematic features. As a paradigmatic coordination task we take a group version of the so-called mirror-game which is highlighted as a good benchmark in the human movement literature.
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction
Guangdong University of Technology（广东工业大学）；Nanyang Technological University（南洋理工大学）；Singapore University of Technology and Design（新加坡科技设计大学）；Sun Yat-sen University（中山大学）；University of Sydney（悉尼大学）
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence
School of Computing, University of Leeds（利兹大学计算学院）；ETH Zurich（苏黎世联邦理工学院）；Institute for a Secure and Sustainable Environment, University of Tennessee（田纳西大学安全与可持续环境研究所）；University of Tennessee（田纳西大学）
The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
Department of Electrical and Computer Engineering（电气与计算机工程系）；NYU Center for Cybersecurity（纽约大学网络安全中心）；NYU Tandon School of Engineering（纽约大学坦顿工程学院）；New York University（纽约大学）
MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents
James Silberrad Brown Center for Artificial Intelligence（詹姆斯·西伯拉德·布朗人工智能中心）；Carnegie Mellon University（卡内基梅隆大学）；Amazon GenAI（亚马逊生成人工智能）；University of Bristol（布里斯托大学）
