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Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

Abstract Surgical robots have been widely used in different procedures to improve and facilitate the surgery. However, there is no robot designed for endometrial regeneration surgery, which is a new therapy for restoring...

Robotic technologies are becoming more advanced and are becoming more popular. Requirements are high levels of accuracy and operational speed, such as in surgery and manufacturing. These targets were highly challenging a...

Soft robotics is a rapidly evolving field that leverages compliant and deformable materials to create robotic systems capable of safe human interaction, environmental adaptability, and bio-inspired motion. Unlike rigid r...

Abstract Background Impaired upper extremity (UE) function is a major contributor to disability after stroke. Combining robotic devices with functional electrical stimulation (FES) has emerged as a promising hybrid appro...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...

To address the challenges of hardware integration and system complexity in laboratory automation, this work introduces a universal platform built on two key innovations. First, a standardized instruction framework unifie...

Abstract Unmanned aerial vehicles, particularly quadrotors, present significant control challenges due to their nonlinear, underactuated, and coupled dynamics. This paper presents a comprehensive modeling approach for a ...

Wheel-legged robots offer high mobility on flat terrain and adaptability in complex environments, yet achieving stable motion under uncertain ground conditions and during height variations poses significant control chall...

Recent advances in artificial intelligence are reshaping collaborative and industrial robotics, enabling a transition from deterministic, pre-programmed automation toward adaptive, learning- enabled systems. This paper s...

Net One of the biggest challenges in industrial robotics working in dynamic environments is reliably recognizing voice commands for human-robot interaction. This article presents a Hybrid Hidden Markov Model, Convolution...

Abstract In recent years, there has been a surge of interest in air-ground collaborative robotics technologies. Our research group designs a novel combination-separation air-ground robot (CSAGR), which exhibits rapid aut...

Legged robots, particularly quadrupeds, have emerged as an essential research focus for traversing unstructured environments where wheeled systems are limited. This paper presents a novel Multi-Level Cognitive Control Ar...

Abstract The reflex arc is fundamental to the physiology of posture and robust locomotion. Mimicking biological reflexes in engineered systems has, therefore, high potential to improve robustness and learning performance...

This research paper explores a robotic arm that is operated by hand movements so that individuals can work with machines effortlessly. The implementation is composed of computer vision, machine learning and small hardwar...

Abstract The teleoperation of a 6 degrees-of-freedom (DOF) manipulator is one of the basic methods to extend people’s capabilities in the wide variety of applications. The master interface based on the force/torque (FT...

Abstract Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other technologies and exhibit the characteristics of bionics, robotics, information and control science, medicine, and other interdis...

Este artículo presenta el diseño de un algoritmo basado en redes neuronales en tiempo discreto para su aplicación en robótica móvil. También se muestran las condiciones de estabilidad y una evaluación de los resul...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

Convolutional Neural Network Twin Arm Robot for Automated Packing of Electronic Components is an intellectual robotic system that is developed as a COCA (Collaborative Operation Control Agent) operational handler of the ...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

Abstract Background Digital teaching methods are established for imparting theoretical knowledge in the training of health professions. While digital formats are increasingly used in education, evidence on their capacity...

Objective: To summarize and contextualize current and future perspectives in the surgical treatment of lymphedema, exploring new techniques and technologies, integrated treatment modalities, and their real-time clinical ...

En la actualidad, la mayoría de los variados sistemas robóticos utilizados en la industria son manipuladores estáticos que operan en espacios de trabajo seguros con énfasis en la velocidad y en la precisión. Estos m...