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Engineering Preprint PDF DOI

Multimodal Anomaly Detection for Human-Robot Interaction

Guilherme Ribeiro, Iordanis Antypas, Leonardo Bizzaro, Joao Bimbo, Nuno Cruz Garcia · 2026

Ensuring safety and reliability in human-robot interaction (HRI) requires the timely detection of unexpected events that could lead to system failures or unsafe behaviours. Anomaly detection thus play…

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Engineering Preprint PDF DOI

Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events

Yin Wu, Wei-Yu Chiu, Yuan-Po Tsai, Shangyuan Liu, Weiqi Hua · 2026

Grid resilience is crucial in light of power interruptions caused by increasingly frequent extreme weather events. Well-designed energy management systems (EMS) have made progress in improving microgr…

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Engineering Preprint PDF DOI

Learning-Enabled Elastic Network Topology for Distributed ISAC Service Provisioning

Jie Chen, Xianbin Wang · 2025

Conventional mobile networks, including both localized cell-centric and cooperative cell-free networks (CCN/CFN), are built upon rigid network topologies. However, neither architecture is adequate to …

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Engineering Preprint PDF DOI

Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN

Ghoshana Bista, Abbas Bradai, Emmanuel Moulay, Abdulhalim Dandoush · 2025

The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…

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Engineering Preprint PDF DOI

MADR: MPC-guided Adversarial DeepReach

Ryan Teoh, Sander Tonkens, William Sharpless, Aijia Yang, Zeyuan Feng, Somil Bansal, Sylvia Herbert · 2025

Hamilton-Jacobi (HJ) Reachability offers a framework for generating safe value functions and policies in the face of adversarial disturbance, but is limited by the curse of dimensionality. Physics-inf…

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Engineering Preprint PDF DOI

Multi-Agent Deep Reinforcement Learning for Multiple Anesthetics Collaborative Control

Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo · 2025

Automated control of personalized multiple anesthetics in clinical Total Intravenous Anesthesia (TIVA) is crucial yet challenging. Current systems, including target-controlled infusion (TCI) and close…

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Engineering Preprint PDF DOI

Distributed Coordination for Heterogeneous Non-Terrestrial Networks

Jikang Deng, Hui Zhou, Mohamed-Slim Alouini · 2025

To achieve global coverage and ubiquitous connectivity, the non-terrestrial network (NTN) has been regarded as a key enabler in the sixth generation (6G) network, which includes uncrewed aerial vehicl…

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Engineering Preprint PDF DOI

Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation

Nasir Khan, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil, Sinem Coleri · 2025

Artificial intelligence (AI) is expected to significantly enhance radio resource management (RRM) in sixth-generation (6G) networks. However, the lack of explainability in complex deep learning (DL) m…

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Engineering Preprint PDF DOI

Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning

Navid Keshtiarast, Oliver Renaldi, Marina Petrova · 2024

In this letter, we propose a novel Multi-Agent Deep Reinforcement Learning (MADRL) framework for Medium Access Control (MAC) protocol design. Unlike centralized approaches, which rely on a single enti…

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Engineering Preprint PDF DOI

MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning

Demetros Aschu, Robinroy Peter, Sausar Karaf, Aleksey Fedoseev, Dzmitry Tsetserukou · 2024

Achieving safe and precise landings for a swarm of drones poses a significant challenge, primarily attributed to conventional control and planning methods. This paper presents the implementation of mu…

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Engineering Preprint PDF DOI

Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving

Jia He, Bonan Li, Ge Yang, Ziwen Liu · 2024

Solving 3D medical inverse problems such as image restoration and reconstruction is crucial in modern medical field. However, the curse of dimensionality in 3D medical data leads mainstream volume-wis…

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Engineering Preprint PDF DOI

Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction

Yubo Ye, Huafeng Liu, Linwei Wang · 2024

In dynamic positron emission tomography (PET) reconstruction, the importance of leveraging the temporal dependence of the data has been well appreciated. Current deep-learning solutions can be categor…

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Engineering Preprint PDF DOI

MADRL-based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks

Leonardo Spampinato, Enrico Testi, Chiara Buratti, Riccardo Marini · 2024

In upcoming 6G networks, unmanned aerial vehicles (UAVs) are expected to play a fundamental role by acting as mobile base stations, particularly for demanding vehicle-to-everything (V2X) applications.…

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Engineering Preprint PDF DOI

Towards Decentralized Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing

Langtian Qin, Hancheng Lu, Yuang Chen, Baolin Chong, Feng Wu · 2023

In the traditional cellular-based mobile edge computing (MEC), users at the edge of the cell are prone to suffer severe inter-cell interference and signal attenuation, leading to low throughput even t…

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Engineering Preprint PDF DOI

Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach

Haocheng Zhang, Rang Liu, Ming Li, Wei Wang, Qian Liu · 2023

The utilization of integrated sensing and communication (ISAC) technology has the potential to enhance the communication performance of road side units (RSUs) through the active sensing of target vehi…

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Engineering Preprint PDF DOI

Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control

Ying Zhang, Meng Yue · 2023

Under voltage load shedding (UVLS) for power grid emergency control builds the last defensive perimeter to prevent cascade outages and blackouts in case of contingencies. This letter proposes a novel …

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Engineering Preprint PDF DOI

Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning

Xianyue Peng, Hang Gao, Gengyue Han, Hao Wang, Michael Zhang · 2023

Urban traffic congestion is a critical predicament that plagues modern road networks. To alleviate this issue and enhance traffic efficiency, traffic signal control and vehicle routing have proven to …

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Engineering Preprint PDF DOI

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

Junkai Qian, Yuning Jiang, Xin Liu, Qing Wang, Ting Wang, Yuanming Shi, Wei Chen · 2023

With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed t…

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Engineering Preprint PDF DOI

Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning

Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou · 2023

The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and…

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Engineering Preprint PDF DOI

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng · 2022

The utilization of large-scale distributed renewable energy promotes the development of the multi-microgrid (MMG), which raises the need of developing an effective energy management method to minimize…

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