Development and evaluation of a computer vision algorithm for quantification of children's microactivities. [PDF]
Lupolt SN +15 more
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
ConcreteCARB: A comprehensive image dataset of concrete carbonation for computer vision tasks. [PDF]
Guzmán-Torres JA +4 more
europepmc +1 more source
Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li +4 more
wiley +1 more source
A computer vision approach for the grading of cotton base load ages in measuring the performance of washing machine. [PDF]
Ma S, Bai X, Bai Y, Shao J.
europepmc +1 more source
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng +3 more
wiley +1 more source
Paper to Pixels: Enhancing Unilateral Neglect Assessment Using the New Computer Vision-Based Tool CANDO. [PDF]
Beckmann L +5 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Deep locomotion prediction learning over biosensors, ambient sensors, and computer vision. [PDF]
Javeed M, Jalal A, AlHammadi DA, Lee B.
europepmc +1 more source

