Results 211 to 220 of about 1,609 (290)
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker+2 more
wiley +1 more source
Experimental investigation on mechanical properties and strength criteria of frozen soft rock. [PDF]
Wang Z, Wang Z, Li D, Jia Z, Liu X.
europepmc +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
Selective learning for sensing using shift-invariant spectrally stable undersampled networks. [PDF]
Verma A, Goyal A, Sarma S, Kumara S.
europepmc +1 more source
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang+3 more
wiley +1 more source
A comparative study on acoustical properties using waste recycled porous materials for environmental sustainability. [PDF]
Selvaraj VK+5 more
europepmc +1 more source
Screw‐Based Pill for Intelligent Robotic Extraction of Viscous Fluids in Medical Applications
Screw‐based pill for intelligent robotic extraction (S‐PIRE) is a magnetically actuated smart capsule with a motorized screw, 3‐axis sensor, and Bluetooth control for site‐specific and minimally invasive remote sampling of viscous fluids, overcoming passive diffusion limitations.
Prima Dewi Sinawang+6 more
wiley +1 more source
Aerodynamic Noise Simulation of a Super-High-Rise Building Facade with Shark-Like Grooved Skin. [PDF]
Wang X, Wen G, Wei Y.
europepmc +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi+5 more
wiley +1 more source