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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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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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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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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Large language models for robotics: Opportunities, challenges, and perspectives
Available online 30 December 2024
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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Actuator and sensor fault isolation in a class of nonlinear dynamical systems
June 2024
Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise, interactive effects of multiple faults and fault propagation. This paper proposes a unified...
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Fast and robust strain signal processing for aircraft structural health monitoring
September 2024
This work elaborates a fast and robust structural health monitoring scheme for copying with aircraft structural fatigue. The type of noise in structural strain signals is determined by using a statistical...
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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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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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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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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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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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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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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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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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Containment control of heterogeneous multi-agent systems subject to Markovian randomly switching topologies and unbounded delays
September 2024
This paper addresses the problem of containment control for heterogeneous multi-agent systems subject to Markovian randomly switching topologies and unbounded communication delays. The objective is...
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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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Autonomous exploration using UWB and LiDAR
February 2023
In autonomous exploration, a robot navigates itself in an unknown environment while building a 2D map of the environment. This is typically done using a LiDAR sensor, which however is susceptible to...
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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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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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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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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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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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Exponential stabilization of linear systems with feedback optimization and its application to microgrids control
September 2024
This paper proposes a feedback-optimization-based control method for linear time-invariant systems, which is aimed to exponentially stabilize the system and, meanwhile, drive the system output to an...
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Adaptive recurrent neural network for uncertainties estimation in feedback control system
August 2023
In this paper, a recurrent neural network (RNN) is used to estimate uncertainties and implement feedback control for nonlinear dynamic systems. The neural network approximates the uncertainties related...
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