Dexterous manipulation in robotics requires coordinated sensing, signal processing, and actuation for real-time, precise object control. Despite advances, the current artificial tactile sensory system lacks the proficiency of the human sensory system...
Journal of neuroengineering and rehabilitation
Jul 5, 2025
The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot that would induce cross-education to an untrained limb. Fourteen individuals with Multiple Sclerosis (MS) and eight non-affected adults completed an ...
Journal of neuroengineering and rehabilitation
Jun 24, 2025
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often struggle to achieve functional recovery, which could be overcome by precise rehabilitation. This study aims to develop an innovative approach for acquirin...
BACKGROUND: Identification of accelerated aging and its biomarkers can lead to more timely therapeutic interventions and decision-making. Therefore, we sought to predict aging-related slow gait, a known predictor of accelerated aging, and its determi...
Autism research : official journal of the International Society for Autism Research
May 5, 2025
Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These motor symptoms often manifest in early childhood, making them critical targets for early diagnosis ...
INTRODUCTION: Robotic technologies have been developed for motor rehabilitation and such robots have shown favourable results when compared with equivalent doses of usual clinical therapy. Recently, robotic interventions have been suggested to be app...
Dealing with grasping tasks in unstructured environments, existing soft grippers often exhibit a lack of static stability, while rigid-soft hybrid grippers display limited compliance due to the fixed connections at the joints. To address the challeng...
The functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) systems recognize patterns in brain signals and generate control commands, thereby enabling individuals with motor disabilities to regain autonomy. In this study han...
Wearable robotic gloves with grip-assistive functionality offer a promising solution for high-intensity manual tasks. However, achieving a balance among lightweight design, adequate force generation, and dexterous hand movement in wearable robotic gl...
Robotic teleoperators introduce novel electromechanical dynamics between the user and the environment. While considerable effort has focused on minimizing these dynamics, we lack a robust understanding of their impact on user task performance across ...
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