AIMC Topic: Motor Skills
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Learning contact-rich whole-body manipulation with example-guided reinforcement learning.
Science robotics
Aug 20, 2025
Humans use diverse skills and strategies to effectively manipulate various objects, ranging from dexterous in-hand manipulation (fine motor skills) to complex whole-body manipulation (gross motor skills). The latter involves full-body engagement and ...
Uncovering locomotor learning dynamics in people with Parkinson's disease.
PloS one
Jul 31, 2025
Locomotor learning is important for improving gait and balance impairments in people with Parkinson's disease (PD). While PD disrupts neural networks involved in motor learning, there is a limited understanding of how PD influences the time course of...
Developmental coordination disorder and cerebral visual impairment: What is the association?
Research in developmental disabilities
Apr 24, 2025
INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond motor planning, affecting visual perceptual and visual-motor integration abilities, similar to children with Cerebral Visual Impairment (CVI), making ...
Natural Language Processing and soft data for motor skill assessment: A case study in surgical training simulations.
Computer methods and programs in biomedicine
Mar 4, 2025
BACKGROUND AND OBJECTIVE: Automated surgical skill assessment using kinematic and video data (hard data) sources has been widely adopted in the literature. However, experts' opinions (soft data) in the form of free-text could be an invaluable source ...
Surmounting the ceiling effect of motor expertise by novel sensory experience with a hand exoskeleton.
Science robotics
Jan 15, 2025
For trained individuals such as athletes and musicians, learning often plateaus after extensive training, known as the "ceiling effect." One bottleneck to overcome it is having no prior physical experience with the skill to be learned. Here, we chall...
Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach.
Journal of sports sciences
Dec 17, 2024
This study aimed to investigate the relative importance of parameters from several domains associated to both selecting or de-selecting players with regards to the next age group within a professional German youth soccer academy across a 7-year perio...
In good hands: A case for improving robotic dexterity.
Science (New York, N.Y.)
Dec 12, 2024
Twenty-first-century roboticists envision robots capable of sorting objects and packaging them, of chopping vegetables and folding clothes. But although many today believe that the only factors necessary for robots to achieve dexterous manipulation a...
Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players.
Journal of sports sciences
Dec 12, 2024
Growing evidence supports that early sport specialization in children and adolescents may compromise long-term athlete development and high-performance acquisition. This study aimed to determine the presence of specialised shooting roles in formative...
An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity.
Journal of neural engineering
Nov 15, 2024
Finger dexterity, and finger individuation in particular, is crucial for human movement, and disruptions due to brain injury can significantly impact quality of life. Understanding the neurological mechanisms responsible for recovery is vital for eff...
Teaching Motor Skills Without a Motor: A Semi-Passive Robot to Facilitate Learning.
IEEE transactions on haptics
Sep 19, 2024
Semi-passive rehabilitation robots resist and steer a patient's motion using only controllable passive force elements (e.g., controllable brakes). Contrarily, passive robots use uncontrollable passive force elements (e.g., springs), while active robo...
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