A survey on multi-agent reinforcement learning and its application
June 2024
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper presents a comprehensive survey of MARL and its applications. We trace the historical evolution of MARL, highlight...
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Large language models for robotics: Opportunities, challenges, and perspectives
March 2025
Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced...
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A comprehensive survey of robust deep learning in computer vision
November 2023
Deep learning has presented remarkable progress in various tasks. Despite the excellent performance, deep learning models remain not robust, especially to well-designed adversarial examples, limiting...
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Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems
Available online 8 January 2025
This study develops a GWO-optimized cascaded fuzzy-PID controller with triangular membership functions for load frequency control in interconnected power systems. The controller’s effectiveness is demonstrated...
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AV-FDTI: Audio-visual fusion for drone threat identification
September 2024
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which have the potential to transport harmful payloads or cause significant damage, we present AV-FDTI, an innovative...
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Industry demand response in dispatch strategy for high-proportion renewable energy power system
December 2024
On the power supply side, renewable energy (RE) is an important substitute to traditional energy, the effective utilization of which has become one of the major challenges in risk-constrained power...
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A genetic programming approach with adaptive region detection to skin cancer image classification
December 2024
Dermatologists typically require extensive experience to accurately classify skin cancer. In recent years, the development of computer vision and machine learning has provided new methods for assisted...
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Enhanced surface defect detection of cylinder liners using Swin Transformer and YOLOv8
Available online 20 January 2025
The service life of internal combustion engines is significantly influenced by surface defects in cylinder liners. To address the limitations of traditional detection methods, we propose an enhanced...
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Adaptive neural network event-triggered secure formation control of nonholonomic mobile robots subject to deception attacks
December 2024
This paper investigates the adaptive neural network (NN) event-triggered secure formation control problem for nonholonomic mobile robots (NMRs) subject to deception attacks. The NNs are employed to...
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A survey on Ultra Wide Band based localization for mobile autonomous machines
Available online 11 February 2025
The fast growth of mobile autonomous machines from traditional equipment to unmanned autonomous vehicles has fueled the demand for accurate and reliable localization solutions in diverse application...
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A data-driven control method for ground locomotion on sloped terrain of a hybrid aerial-ground robot
December 2024
In this work, we present a data-driven solution for the attitude control of DoubleBee on slopes. DoubleBee is a novel hybrid aerial-ground robot with two rotors and two active wheels. Inspired by the...
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Human–AI interactive optimized shared control
Available online 9 January 2025
This paper presents an optimized shared control algorithm for human–AI interaction, implemented through a digital twin framework where the physical system and human operator act as the real agent while...
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Optimal decarbonisation pathway for mining truck fleets
September 2024
The fossil fuel powered mining truck fleets can contribute up to 80% of total emissions in open pit mines. This study investigates the optimal decarbonisation pathway for mining truck fleets. Notably,...
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Reinforcement learning with soft temporal logic constraints using limit-deterministic generalized Büchi automaton
March 2025
This paper investigates control synthesis for motion planning under conditions of uncertainty, specifically in robot motion and environmental properties, which are modeled using a probabilistic labeled...
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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters
December 2024
The stable and reliable operation of grid-integrated renewable energy systems requires advanced control and coordination of grid-side converters (GSCs), utilizing the feedback measurements of voltage...
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A review on COLREGs-compliant navigation of autonomous surface vehicles: From traditional to learning-based approaches
December 2022
A growing interest in developing autonomous surface vehicles (ASVs) has been witnessed during the past two decades, including COLREGs-compliant navigation to ensure safe autonomy of ASVs operating in...
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Model predictive control for unprotected left-turn based on sequential convex programming
December 2024
In autonomous driving, an unprotected left turn is a highly challenging scenario. It refers to the situation where there is no dedicated traffic signal controlling the left turns; instead, left-turning...
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SPADE: A spatial information assisted collision distance estimator for robotic arm
December 2024
The movement of a robotic arm in the working environment requires efficient and adequate motion planning. The procedure of collision detection based on the object geometry is crucial to plan the motion...
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Distributed algorithms for aggregative games with multiple uncertain Euler–Lagrange systems over switching networks
March 2025
In this paper, we investigate the distributed Nash equilibrium (NE) seeking problem for aggregative games with multiple uncertain Euler–Lagrange (EL) systems over jointly connected and weight-balanced...
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A survey on computationally efficient neural architecture search
December 2022
Neural architecture search (NAS) has become increasingly popular in the deep learning community recently, mainly because it can provide an opportunity to allow interested users without rich expertise...
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Deep learning and transfer learning for device-free human activity recognition: A survey
December 2022
Device-free activity recognition plays a crucial role in smart building, security, and human–computer interaction, which shows its strength in its convenience and cost-efficiency. Traditional machine...
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Large-scale self-normalizing neural networks
June 2024
Self-normalizing neural networks (SNN) regulate the activation and gradient flows through activation functions with the self-normalization property. As SNNs do not rely on norms computed from minibatches,...
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Non-intrusive soil carbon content quantification methods using machine learning algorithms: A comparison of microwave and millimeter wave radar sensors
August 2023
Agricultural and forestry biomass can be converted to biochar through pyrolysis gasification, making it a significant carbon source for soil. Applying biochar to soil is a carbon-negative process that...
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Fault-tolerant control of wheeled mobile robots with prescribed trajectory tracking performance
Available online 20 December 2024
The problem of trajectory tracking for a class of differentially driven wheeled mobile robots (WMRs) under partial loss of the effectiveness of the actuated wheels is investigated in this paper. Such...
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Controllability robustness of complex networks
December 2022
This article presents an overview on the state-of-the-art development in complex network controllability and its robustness against malicious attacks and random failures. Specifically, it first reviews...
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