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Validation of an online imitation-inhibition task.
Behav Res Methods
January 2025
Leuphana University Lueneburg, Lueneburg, Germany.
People automatically imitate a wide range of different behaviors. One of the most commonly used measurement methods to assess imitative behavior is the imitation-inhibition task (Brass et al., 2000).
View Article and Find Full Text PDFSegment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration.
Biomimetics (Basel)
January 2025
RoboticsLab, Universidad Carlos III de Madrid, 28911 Madrid, Spain.
Motion primitives are a highly useful and widely employed tool in the field of Learning from Demonstration (LfD). However, obtaining a large number of motion primitives can be a tedious process, as they typically need to be generated individually for each task to be learned. To address this challenge, this work presents an algorithm for acquiring robotic skills through automatic and unsupervised segmentation.
View Article and Find Full Text PDFThe impact of model eyesight and social reward on automatic imitation in virtual reality.
J Exp Psychol Hum Percept Perform
January 2025
Department of Experimental Clinical and Health Psychology, Ghent University.
Motivational theories of imitation state that we imitate because this led to positive social consequences in the past. Because movement imitation typically only leads to these consequences when perceived by the imitated person, it should increase when the interaction partner sees the imitator. Current evidence for this hypothesis is mixed, potentially due to the low ecological validity in previous studies.
View Article and Find Full Text PDFImproving Imitation Skills in Children with Autism Spectrum Disorder Using the NAO Robot and a Human Action Recognition.
Diagnostics (Basel)
December 2024
Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
Autism spectrum disorder (ASD) is a group of developmental disorders characterized by poor social skills, low motivation in activities, and a lack of interaction with others. Traditional intervention approaches typically require support under the direct supervision of well-trained professionals. However, teaching and training programs for children with ASD can also be enhanced by assistive technologies, artificial intelligence, and robotics.
View Article and Find Full Text PDFFerroelectric/Electric-Double-Layer-Modulated Synaptic Thin Film Transistors toward an Artificial Tactile Perception System.
ACS Appl Mater Interfaces
January 2025
Department of Materials Science, National Engineering Lab for TFT-LCD Materials and Technologies, Fudan University, Shanghai 200433, China.
Tactile sensation and recognition in the human brain are indispensable for interaction between the human body and the surrounding environment. It is quite significant for intelligent robots to simulate human perception and decision-making functions in a more human-like way to perform complex tasks. A combination of tactile piezoelectric sensors with neuromorphic transistors provides an alternative way to achieve perception and cognition functions for intelligent robots in human-machine interaction scenarios.
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