Agentic AI: The age of reasoning—A review
March 2026
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 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...
From black box to physically interpretable: Trustworthy computing for AI-driven decision-making and control
June 2026
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...
A survey of safety control for service robots
June 2026
Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress...
Review on the developments of sliding function and adaptive gain in sliding mode control
December 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...
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...
Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems
December 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 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...
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...
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...
Adaptive event-triggered coding and decoding scheme based on fuzzy logic
March 2026
In this paper, we propose a fuzzy logic-based coded event-triggered control with self-adjustable prescribed performance (FL-CEC-SPP) to address the trade-off between control performance and communication...
GRA: Graph-based reward aggregation for cooperative multi-agent reinforcement learning
March 2026
Multi-agent reinforcement learning (MARL) has proven its effectiveness in cooperative multi-agent systems (MASs) but still faces issues on the curse of dimensionality and learning efficiency. The main...
Quadrotor-based trajectory tracking control of wind turbine blades: A dual-closed-loop ADRC approach
Available online 4 March 2026
This paper is concerned with the tracking control problem of a quadrotor for the motion trajectory of wind turbine blades subject to external disturbances. Due to the unpredictability and complexity...
Tire wear aware trajectory tracking control for Multi-axle Swerve-drive Autonomous Mobile Robots
December 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...
Essay on robust prescribed-time stabilization
March 2026
As well-known, prescribed-time stabilizing design faces the need of using time-varying high gains which escape to infinity as time approaches the desired instant. In the presence of measurement noise,...
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...
Adaptive optimal tracking control for underactuated surface vessels using extended state observer and reinforcement learning
March 2026
This paper investigates the adaptive optimal tracking control (AOTC) for underactuated surface vessels (USVs). Compared to the majority of existing studies, the control strategy in this paper innovatively...
Dynamic carbon emission flow tracking with a new optimal storage schedule for power grids
June 2026
With the global drive toward carbon neutrality, the deep integration of variable renewable energy sources (VRES) and energy storage systems (ESS) has rendered traditional static carbon accounting methods...
Learning minimum-time flight control for fixed-wing UAVs in three-dimensional space with high-fidelity 6-DOF dynamics
June 2026
Minimizing flight time while ensuring stability and efficiency presents a significant challenge in UAV control. This paper introduces velocity-level and actuator-level control approaches for addressing...
Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems
March 2026
This paper addresses the synchronization of follower agents’ state vectors with that of a leader in high-order nonlinear multi-agent systems. The proposed low-complexity control scheme employs high-gain...
EKF-enhanced hybrid visual servoing with deep perception for autonomous endoscope control in robotic surgery
Available online 4 April 2026
In robot-assisted minimally invasive surgery (MIS), precise automatic control of the endoscope is crucial for maintaining optimal visualization. Regarding the additional burden imposed on surgeons due...
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...