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Open access

ISSN: 2949-8554
CN: 50-1232/TP
p-ISSN: 2097-504X

Agentic AI: The age of reasoning—A review

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

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

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...

From black box to physically interpretable: Trustworthy computing for AI-driven decision-making and control

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 on Ultra Wide Band based localization for mobile autonomous machines

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 survey of safety control for service robots

Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress...

A comprehensive review of quadruped robots: Vision perception, motion control, applications and challenges

With the ongoing technological advancements, mobile robots with biomimetic structures have garnered significant attention due to their dynamic performance and adaptability to complex environments. Among...

Review on the developments of sliding function and adaptive gain in sliding mode control

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

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...

Adaptive event-triggered coding and decoding scheme based on fuzzy logic

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...

Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems

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...

Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems

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

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...

EKF-enhanced hybrid visual servoing with deep perception for autonomous endoscope control in robotic surgery

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...

GRA: Graph-based reward aggregation for cooperative multi-agent reinforcement learning

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...

Dynamic carbon emission flow tracking with a new optimal storage schedule for power grids

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

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...

Essay on robust prescribed-time stabilization

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

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

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...

Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems

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...

A survey on robust stability and performance for networked control systems

This survey presents a comprehensive overview of networked control systems (NCSs), focusing on stability and performance guarantees under network-induced effects and constraints, mainly emphasizing...

Coding-based distributed filtering for cyber–physical systems under denial of service attacks

This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems. A particular feature of our work is that we consider systems in which the state...

Tire wear aware trajectory tracking control for Multi-axle Swerve-drive Autonomous Mobile Robots

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...

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