AIMC Topic: Motor Skills

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Sub-processes of motor learning revealed by a robotic manipulandum for rodents.

Behavioural brain research
Rodent models are widely used to investigate neural changes in response to motor learning. Usually, the behavioral readout of motor learning tasks used for this purpose is restricted to a binary measure of performance (i.e. "successful" movement vs. ...

Effects of robotic therapy on upper-extremity function in children with cerebral palsy: A systematic review.

Developmental neurorehabilitation
OBJECTIVE: To systematically examine the effects of robotic therapy on upper extremity (UE) function in children with cerebral palsy (CP).

Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires.

Neural computation
Modern robots face a challenge shared by biological systems: how to learn and adaptively express multiple sensorimotor skills. A key aspect of this is developing an internal model of expected sensorimotor experiences to detect and react to unexpected...

Pose estimation for pickleball players' kinematic analysis through MediaPipe-based deep learning: A pilot study.

Journal of sports sciences
Pickleball has gained popularity across diverse age groups. This sport has particular balls that require different hitting styles, like hitting dinks. This study focuses on introducing pickleball players' kinematic analysis through a MediaPipe-based ...

Robot-Mediated Asymmetric Connection Between Humans Can Improve Performance Without Increasing Effort.

IEEE transactions on bio-medical engineering
UNLABELLED: Whether working together to move a table or supporting a child learning to ride a bike, physically connected individuals exchange haptic information to improve motor performance. However, this improvement occurs at the cost of additional ...

Artificial intelligence-supported occupational therapy program on handwriting skills in children at risk for developmental coordination disorder: Randomized controlled trial.

Research in developmental disabilities
AIM: This study investigates the impact of an AI-supported occupational therapy program, developed using the Model of Human Occupation (MOHO), on handwriting skills in children at risk for Developmental Coordination Disorder (DCD).

Embodied manipulation with past and future morphologies through an open parametric hand design.

Science robotics
A human-shaped robotic hand offers unparalleled versatility and fine motor skills, enabling it to perform a broad spectrum of tasks with precision, power, and robustness. Across the paleontological record and animal kingdom, we see a wide range of al...

Toward biologically realistic models of the motor system.

Neuron
In this issue of Neuron, Chiappa et al. describe how neural networks can be trained to perform complex hand motor skills. A key to their approach is curriculum learning, breaking learning into stages, leading to good control.

Substituting some unassisted practice with robotic guidance: Assessing the feasibility of auditory-cued mixed practice for music-based interventions.

NeuroRehabilitation
BACKGROUND: There is equivocal evidence regarding the effectiveness of robotic guidance on the (re)learning of voluntary motor skills. Robotic guidance can improve the performance of continuous/ tracking skills, although being seldom more effective t...

Co-designing hardware and control for robot hands.

Science robotics
Policy gradient methods can be used for mechanical and computational co-design of robot manipulators.