Integrating Tactile Feedback Technologies Into Home-Based Telerehabilitation: Opportunities and Challenges in Light of COVID-19 Pandemic [0.03%]
触觉反馈技术在家用遥康复中的应用：面向新冠肺炎疫情的机遇与挑战
Shirley Handelzalts,Giulia Ballardini,Chen Avraham et al.
Shirley Handelzalts et al.
The COVID-19 pandemic has highlighted the need for advancing the development and implementation of novel means for home-based telerehabilitation in order to enable remote assessment and training for individuals with disabling conditions in ...
EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function [0.03%]
基于双层学习体系的径向基函数求解的脑电驾驶疲劳检测
Ziwu Ren,Rihui Li,Bin Chen et al.
Ziwu Ren et al.
Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of the EEG technology, but it is still challenging to extract informative features f...
Yuval Zaidel,Albert Shalumov,Alex Volinski et al.
Yuval Zaidel et al.
Neuromorphic implementation of robotic control has been shown to outperform conventional control paradigms in terms of robustness to perturbations and adaptation to varying conditions. Two main ingredients of robotics are inverse kinematic ...
Self-Learning Event Mistiming Detector Based on Central Pattern Generator [0.03%]
基于中心模式生成器的自学习事件时序检测器
Rudolf Szadkowski,Miloš Prágr,Jan Faigl
Rudolf Szadkowski
A repetitive movement pattern of many animals, a gait, is controlled by the Central Pattern Generator (CPG), providing rhythmic control synchronous to the sensed environment. As a rhythmic signal generator, the CPG can control the motion ph...
Intention Understanding in Human-Robot Interaction Based on Visual-NLP Semantics [0.03%]
基于视觉-自然语言处理语义的人机交互意向理解
Zhihao Li,Yishan Mu,Zhenglong Sun et al.
Zhihao Li et al.
With the rapid development of robotic and AI technology in recent years, human-robot interaction has made great advancement, making practical social impact. Verbal commands are one of the most direct and frequently used means for human-robo...
One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms [0.03%]
基于全卷积网络的一步多路径规划及其与其他算法的比较研究
Tomas Kulvicius,Sebastian Herzog,Timo Lüddecke et al.
Tomas Kulvicius et al.
Path planning plays a crucial role in many applications in robotics for example for planning an arm movement or for navigation. Most of the existing approaches to solve this problem are iterative, where a path is generated by prediction of ...
Adaptive Locomotion Control of a Hexapod Robot via Bio-Inspired Learning [0.03%]
一种基于仿生学习的六足机器人自适应行走控制方法
Wenjuan Ouyang,Haozhen Chi,Jiangnan Pang et al.
Wenjuan Ouyang et al.
In this paper, an adaptive locomotion control approach for a hexapod robot is proposed. Inspired from biological neuro control systems, a 3D two-layer artificial center pattern generator (CPG) network is adopted to generate the locomotion o...
Reverse Engineering and Robotics as Tools for Analyzing Neural Circuits [0.03%]
反向工程和机器人技术作为分析神经环路的工具
Ioannis Pisokas
Ioannis Pisokas
Understanding neuronal circuits that have evolved over millions of years to control adaptive behavior may provide us with alternative solutions to problems in robotics. Recently developed genetic tools allow us to study the connectivity and...
Elucidation of EEG Characteristics of Fuzzy Reasoning-Based Heuristic BCI and Its Application to Patient With Brain Infarction [0.03%]
基于模糊推理的启发式BCI的EEG特征阐明及其脑梗患者的应用研究
Norihiko Saga,Atsushi Doi,Teruo Oda et al.
Norihiko Saga et al.
Non-invasive brain-computer interfaces (BCIs) based on common electroencephalography (EEG) are limited to specific instrumentation sites and frequency bands. These BCI induce certain targeted electroencephalographic features of cognitive ta...
Online Tuning of PID Controller Using a Multilayer Fuzzy Neural Network Design for Quadcopter Attitude Tracking Control [0.03%]
基于多层模糊神经网络的四旋翼姿态跟踪控制PID控制器在线整定研究
Daewon Park,Tien-Loc Le,Nguyen Vu Quynh et al.
Daewon Park et al.
This study presents an online tuning proportional-integral-derivative (PID) controller using a multilayer fuzzy neural network design for quadcopter attitude control. PID controllers are simple but effective control methods. However, findin...