Results 251 to 260 of about 848,733 (323)
Anomaly Detection and Segmentation in Measurement Signals on Edge Devices Using Artificial Neural Networks. [PDF]
Dembski J, Wiszniewski B, Kołakowska A.
europepmc +1 more source
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
Scalable transition metal dichalcogenide memtransistor arrays with Schottky-barrier control for energy-efficient artificial neural networks. [PDF]
Hou X +11 more
europepmc +1 more source
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff +8 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
Synaptic plasticity-based regularizer for artificial neural networks. [PDF]
Yousef Q, Li P.
europepmc +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
Predicting the Compressive Properties of Carbon Foam Using Artificial Neural Networks. [PDF]
Gurmu DN, Wacławiak K, Lemu HG.
europepmc +1 more source

