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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...

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...

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...

Aims: While robotic-assisted total hip arthroplasty (THA) improves implant positioning accuracy, it often overlooks dynamic lumbopelvic parameters, such as pelvic tilt changes between sitting and standing. These factors ...

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 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...

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...

Widespread attention has been drawn to the underwater biomimetic robotic fish due to its excellent agility and little environmental disturbance. A hybrid-driven bionic robotic fish outfitted with dual-propeller thrusters...

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...

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...

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...

Objective: This study aimed to compare the effects of inhalation anesthesia and total intravenous anesthesia on intraocular pressure, as well as to evaluate associated hemodynamic changes, surgical duration, blood gas pa...

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 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 ...

Abstract Vision-based robotic triaxial tactile sensing provides superior spatial resolution and rich multimodal data. However, employing rigid CMOS imagers suffers from limitations in mechanical flexibility and large-are...

One of the most successful orthopedic procedures performed remains the total hip arthroplasty. Primary total hip arthroplasty eliminates pathologic joint arthritis and provides pain relief, allowing for increased mobilit...

The purpose of the scientific research is to identify and argue the relationship between the quality and amount of taxation of digital products and services, and the development of digital businesses. It also aims to pro...

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...

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...

Agile, dynamic, and safe motion planning in interactive environments is a key challenge for autonomous vehicles. Most research has focused on enhancing established planning algorithms, often aiming to improve optimality ...

Locomotion in animals such as fish, snakes, inchworms, and octopuses exhibits a remarkable diversity, with each species utilizing distinct body morphologies and movement strategies. Currently, no existing kinematic model...

Abstract Devices with variable stiffness are drawing more and more attention with the growing interests of human-robot interaction, wearable robotics, rehabilitation robotics, etc. In this paper, the authors report on th...

Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...

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 ...