Results 121 to 130 of about 1,495,722 (370)

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search

open access: yes, 2016
In principle, reinforcement learning and policy search methods can enable robots to learn highly complex and general skills that may allow them to function amid the complexity and diversity of the real world.
Chebotar, Yevgen   +4 more
core   +1 more source

What is it like to have a body? [PDF]

open access: yes, 2012
Few questions in psychology are as fundamental or as elusive as the sense of one’s own body. Despite widespread recognition of the link between body and self, psychology has only recently developed methods for the scientific study of bodily awareness ...
Haggard, P., Longo, Matthew R.
core   +1 more source

Flight of the Future: An Experimental Analysis of Event‐Based Vision for Online Perception Onboard Flapping‐Wing Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
A thorough analysis of event‐based vision for flapping‐wing robots is presented, with emphasis on hardware integration, suitability under challenging flight conditions, and real‐time performance. Theoretical and experimental studies demonstrate how these sensors enable robust and efficient onboard perception for ornithopters, thereby advancing autonomy
Raul Tapia   +5 more
wiley   +1 more source

Development of Asynchronous Traction Motor for General Narrow Gauge Diesel Locomotive

open access: yes机车电传动, 2019
Aiming at the structure characteristics and performance of asynchronous traction motor for narrow track diesel locomotive, analysis and calculation were carried out in details, and the general technical index and structure parameters were determined. The
Lianfeng LI   +3 more
doaj  

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo   +5 more
wiley   +1 more source

DYNAMIC REGIMES OF ASYNCHRONOUS MOTORS WITH CONCATENATED CAPACITORS

open access: yesElectrical engineering & Electromechanics, 2015
Purpose. Development of mathematical model for calculation of starting modes of asynchronous motor connected in series with capacitors. Method. Mathematical modeling of dynamic modes of asynchronous motors with lateral capacitor compensation of reactive ...
V. S. Malyar   +2 more
doaj  

Calculation of Asynchronous Motor Characteristics using Electronic Computer

open access: yesИзвестия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2004
The paper considers calculation method for operational, U-type and angular characteristics of asynchronous motor using personal computer. This method is based on its vector diagram.
V. V. Romanov
doaj   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen   +9 more
wiley   +1 more source

Complex driver movement mathematical model of the tractive rolling stock [PDF]

open access: yes, 2018
The paper developed a complex mathematical model of the rolling stock movement that takes into account the parallel operation of two real traction asynchronous engines of the first traction railway carriage and one equivalent engine of the second ...
Dmitrienko, Valery   +5 more
core  

Home - About - Disclaimer - Privacy