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,...
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 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 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...
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...
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...
Human–AI interactive optimized shared control
September 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...
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...
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...
From black box to physically interpretable: Trustworthy computing for AI-driven decision-making and control
Available online 24 September 2025
As Artificial Intelligence (AI) becomes deeply integrated into the physical world, ensuring verifiable, robust, and safe decision-making and control is paramount. Purely data-driven methods, while successful...
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...
Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems
Available online 22 July 2025
Efficient planning of activities is essential for modern industrial assembly lines to uphold manufacturing standards, prevent project constraint violations, and achieve cost-effective operations. While...
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...
Dynamic hedging of 50ETF options using Proximal Policy Optimization
September 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...
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...
A survey of safety control for service robots
Available online 17 October 2025
Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress...
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-AMRs) equipped with independently steerable wheels are commonly used for high-payload transportation. In this work, we present a novel Model Predictive...
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...
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...
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,...
Adaptive event-triggered coding and decoding scheme based on fuzzy logic
Available online 8 August 2025
In this paper, we propose a Fuzzy Logic-Based Coded Event-Triggered Scheme (FL-CEC-SPP) to address the trade-off between control performance and communication efficiency in resource-constrained networked...
Group formation tracking for heterogeneous linear multi-agent systems under switching topologies
June 2025
This article investigates the time-varying output group formation tracking control (GFTC) problem for heterogeneous multi-agent systems (HMASs) under switching topologies. The objective is to design...
Fault-tolerant control for swarm systems: A geometric-based PDE planning approach
September 2025
This paper investigates the issue of fault-tolerant control for swarm systems subject to switched graphs, actuator faults and obstacles. A geometric-based partial differential equation (PDE) framework...