Results 211 to 220 of about 528,043 (335)
Carbon Nanotube 3D Integrated Circuits: From Design to Applications
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu+3 more
wiley +1 more source
Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG. [PDF]
Song T+5 more
europepmc +1 more source
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. [PDF]
Smith SC+4 more
europepmc +1 more source
This study demonstrates the use of a low‐cost 3D printing technique to prepare a large‐area PVDF‐FAPbI3 composite dielectric film for flexible TENG application. The δ→α phase transformation of the FAPbI3 nanofillers has significantly improved the β‐phase content, morphology, and dielectric properties of the PVDF film.
Nurfatin Hafizah Zain Karimy+7 more
wiley +1 more source
Gaussian process inference modelling of dynamic robot control for expressive piano playing. [PDF]
Scimeca L, Ng C, Iida F.
europepmc +1 more source
Computer Aided Determination of Robot Arm Dynamics and Adaptive Control Algorithms
A. Akmehmet, Ahmet Kuzucu
openalex +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Brain-inspired biomimetic robot control: a review. [PDF]
Mompó Alepuz A, Papageorgiou D, Tolu S.
europepmc +1 more source
Investigating exploration for deep reinforcement learning of concentric tube robot control. [PDF]
Iyengar K, Dwyer G, Stoyanov D.
europepmc +1 more source