Researchers, in a study published in The Innovation, developed a bionic spine for soft robots inspired by vertebrate animals' spines. By integrating sensing and actuation into a single device using materials like lead zirconate titanate (PZT), the bionic spine enables complex motions and behaviors without external sensors.
The researchers introduce the ROSMA dataset and methodology in Applied Sciences, facilitating instrument detection and gesture segmentation in robotic surgical tasks. Through manual annotations and a neural network model combining YOLOv4 and LSTM, they achieve high accuracy and generalization capabilities, offering potential applications in surgical data science and beyond.
Researchers introduced a novel approach to signer-independent sign language recognition (SLR) using Neutrosophic hidden Markov models (NHMM). By addressing the challenges of variability and uncertainty inherent in sign gestures, the proposed NHMM system achieved a remarkable gesture recognition rate of 98.5%, outperforming traditional methods.
A recent review delves into the progress and future prospects of embodied intelligence in soft robotics, covering morphological computation, artificial evolution, perception, control, and decision-making. The study highlights synergies between soft robotics and embodied intelligence, presents applications across domains like exploration and medicine, and suggests directions for future research.
Researchers introduced a cable-driven robotic platform capable of facilitating six-degrees-of-freedom (6-DoF) natural head-neck movements without imposing rigid kinematic constraints. Through optimization and validation, the device demonstrated promising applications in rehabilitation, sports training, occupational therapy, and beyond, offering a versatile solution for enhancing human mobility and function.
Researchers in the UK have introduced a cable loop gripper (CLG) designed to adeptly grasp objects of various shapes and sizes in chemistry labs. This innovative gripper, utilizing flexible cable loop technology, showcases promising potential for robotic automation in conducting chemistry experiments, offering adaptability, reliability, and efficiency in handling diverse laboratory supplies and equipment.
Researchers introduced an advanced multisensory interface in Actuators journal, enhancing robot-assisted pouring tasks with detailed sensory feedback while managing high visual demands. Their optimization method identified the most effective combination of feedback modalities, maximizing perception while minimizing cognitive load.
The field of neuroprosthetics, which enables the brain to operate external devices like robotic limbs, is starting to gain traction as a potential treatment option for individuals who are incapacitated by stroke or amputation.
A group of researchers from Cornell University and the University of Lisbon recently unveiled a touch-based robot that can promote inclusion in classrooms by providing kids with and without visual impairments with equal opportunities to engage in group activities with the robot.
A Linköping University study tested the app in primary care settings, demonstrating its ability to analyze images of skin lesions and detect melanoma with high precision.
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