Results 141 to 150 of about 1,925,096 (328)
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source
Convolutional neural networks for the classification of glitches in gravitational-wave data streams
Tiago Fernandes +5 more
openalex +1 more source
A method for
Zhilin Liu +5 more
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Neural Predictive Coding Using Convolutional Neural Networks Toward Unsupervised Learning of Speaker Characteristics [PDF]
Arindam Jati, Panayiotis Georgiou
openalex +1 more source
Risk Analysis of Android Applications using Static Permissions and Convolutional Neural Network [PDF]
Kshamta Chauhan, Ekta Gandotra
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
ObjectiveTo evaluate the decoding accuracy and model performance of a graph spatio-temporal convolutional neural network (G-STCNN) in motor intention recognition of stroke patients.MethodsWe developed a novel G-STCNN model by integrating graph ...
XU Hui +5 more
doaj
Age and Gender Classification using Multiple Convolutional Neural Network
Khaled Rahman Hassan, Israa Hadi Ali
openalex +1 more source

