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...
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...
A survey on Ultra Wide Band based localization for mobile autonomous machines
June 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...
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...
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...
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...
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...
Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems
June 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...
Tire wear aware trajectory tracking control for Multi-axle Swerve-drive Autonomous Mobile Robots
Available online 6 June 2025
Multi-axle Swerve-drive Autonomous Mobile Robots (MS-AGVs) equipped with independently steerable wheels are commonly used for high-payload transportation. In this work, we present a novel model predictive...
Fault-tolerant control of wheeled mobile robots with prescribed trajectory tracking performance
June 2025
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...
Saturation-tolerant prescribed control of MIMO nonlinear systems with actuator faults
March 2025
This paper addresses the tracking control problem of a class of multiple-input–multiple-output nonlinear systems subject to actuator faults. Achieving a balance between input saturation and performance...
DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2
June 2025
Predicting cross-immunity between viral strains is vital for public health surveillance and vaccine development. Traditional neural network methods, such as BiLSTM, could be ineffective due to the lack...
Review on the developments of sliding function and adaptive gain in sliding mode control
Available online 18 June 2025
Sliding mode control (SMC) is a well-known robust nonlinear control method with strong robustness and fast response which has been widely used in many applications. This paper introduces the major results...
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...
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...
Dynamic hedging of 50ETF options using Proximal Policy Optimization
Available online 9 April 2025
This paper employs the PPO (Proximal Policy Optimization) algorithm to study the risk hedging problem of the Shanghai Stock Exchange (SSE) 50ETF options. First, the action and state spaces were designed...
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...
Time-synchronized control with the least upper bound of fixed settling time
June 2025
This paper introduces time-synchronized convergence in fixed-time control, where all system states converge to the origin at the same time before a fixed time instant. Sufficient Lyapunov conditions...
Agentic AI: The age of reasoning—A review
Available online 28 August 2025
Artificial intelligence has experienced a significant boom with the emergence of agentic AI, where autonomous agents are increasingly replacing human intervention, enabling systems to perceive, reason,...
Decentralised adaptive learning-based control of robot manipulators with unknown parameters
June 2025
This paper studies motor joint control of a 4-degree-of-freedom (DoF) robotic manipulator using learning-based Adaptive Dynamic Programming (ADP) approach. The manipulator’s dynamics are modelled as...
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,...
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,...
Global prescribed performance control for lane-keeping of automated vehicles considering input saturation
March 2025
This paper addresses the lane-keeping control problem for autonomous ground vehicles subject to input saturation and uncertain system parameters. An enhanced adaptive terminal sliding mode based prescribed...
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...
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...