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ABSTRACT Objective: To analyze the limitations and complications of using a robotic system in spinal surgeries during the learning curve. Methods: To evaluate the results of the application of 415 pedicle screws in 67 pa...

As part of sustainability, care for the environment is necessary to ensure health of everyone. Sadly, pollution and particularly stray waste have turned out to be a major problem for humans and wildlife. All the litter, ...

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

"This thesis investigates whether a low-cost brushed DC motor can be used reliably in an actively controlled dual-reel actuation system despite the thermal and energetic challenges associated with motorization. Three low...

Background: The growth in popularity of unicompartmental knee arthroplasty (UKA) has far outpaced that of total knee arthroplasty (TKA). A major challenge with UKA is symptomatic progression of osteoarthritis (OA), which...

Abstract Background This is the first systematic review and meta-analysis aimed at assessing the current status of robotic-assisted implant surgery (r-CAIS) in zygomatic implant (ZI) placement, with a particular focus on...

Historically, cow selection criteria were developed for conventional milking systems that have regular milking intervals (MI). However, in automatic milking systems (AMS), there is variability in MI within and between co...

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 Children with Unilateral Cerebral Palsy (UCP) are characterized by significant upper limbs (ULs) impairment that hinders daily activities and participation, requiring accurate assessment. Although mot...

The integration of artificial intelligence (AI) into human-robot interaction (HRI) in healthcare has fundamentally revolutionized the emotional, social, and cognitive interaction between humans and robotic systems. This ...

ABSTRACT Purpose Ligament tension balance is essential for successful and long‐term implant survival of total knee arthroplasty (TKA). Conventional manual tensioning methods are subjective and vary with the surgeon exp...

Introduction and aims: Conventional removable partial denture (RPD) clasp fabrication with wrought wire depends on operator skill, limiting efficiency and reproducibility. This study compared robotically and manually ben...

A robotic arm with five degrees of freedom has been developed for use in learning laboratories. The arm's movements were designed and simulated in SOLIDWorks and LabVIEW. The LabVIEW Softmotion was used to impose motion ...

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...

Robot Operating System (ROS) is a middleware widely used in robotics development. ROS simplifies communication between nodes within a network so that robot developers are able to simply develop robot applications. Howeve...

"Embedded system design is crucial for the development of industry, technology, and science, and it is an area that has significantly grown in recent years throughout Latin America, both in academia and in industry. Embe...

Abstract Upper-limb prosthesis users usually lack comprehensive feedback or touch. This significantly hinders their ability to interact with their environment and lead normal lives. This research involves the development...

Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0. Industrial robots are nonlinear, complex, an...

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 ...

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...

3D printing is transforming soft robotics by enabling complex geometries, rapid iteration, and cofabrication of structure, actuation, and sensing. Central to this progress are functional materials that provide stretchabl...

ABSTRACT In recent years, there has been a proliferation of literature describing new technologies increasingly integrated into the surgical management of pelvic fractures. However, the available data are heterogeneous, ...

Abstract Introduction The learning curve refers to the relationship between a learner's execution of a task and the number of attempts or time necessary to perform it in a predictable, reliable, and optimal fashion. The ...