Results 161 to 170 of about 552,282 (301)
Latent orientation field estimation via convolutional neural network [PDF]
Kai Cao, Anil K. Jain
openalex +1 more source
3D Elastomeric Kirigami for Passively Stretchable Fully Soft Vacuum‐Powered Artificial Muscles
The creation of purely soft, passively stretchable artificial muscles has long been a hot topic in robotics research. Here, we present a design approach involving the extension of 2D kirigami to 3D elastomeric kirigami structures. In a biomimetic demonstration of the human upper arm, this approach successfully simulated the driving mechanism ...
Tao Wang +8 more
wiley +1 more source
Bioelectronic Sensors for Neuromuscular Perception in Human‐Machine Interfaces
This review summarizes recent advances in bioelectronic sensors for neuromuscular perception in human‐machine interfaces. By integrating biopotential, electrical impedance, and electrochemical sensing strategies with flexible electrode interfaces, these bioelectronic sensing systems enable intuitive, real‐time detection of muscle and nerve activity ...
Junwei Li +5 more
wiley +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Assessment of Deep Convolutional Neural Network Models for the Classification of Benign Fibro-Osseous Lesions of the Jaws. [PDF]
Achararit P +5 more
europepmc +1 more source
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Can Xu +3 more
openalex +2 more sources
Part Detector Discovery in Deep Convolutional Neural Networks [PDF]
Marcel Simon +2 more
openalex +1 more source
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
Identification of auricular acupoints using a convolutional neural network. [PDF]
Kim J, Kim Y, Yoon DE, Lee IS, Chae Y.
europepmc +1 more source

