A Real-time Robot Control Framework Using ROS Control for 7-DoF Light-weight Robot*

CAN bus was used as the data transferring channels in the two–level controllers, and the real-time,dexterity,expansibility and security for the Gluing control system based on CAN bus can be improved obviously.The system structure, principle and software design were introduced.The experiment shows that it is a reliable control system and it can meet the requirements of automatic gluing tasks.

Download Full-text

Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽

10.3390/electronics10192322 ◽

2021 ◽

Vol 10 (19) ◽

pp. 2322

Author(s):

Xiaofei Ma ◽

Xuan Liu ◽

Xinxing Li ◽

Yunfei Ma

Keyword(s):

Big Data ◽

Real Time ◽

Data Analytics ◽

Mechanical Energy ◽

Rapid Development ◽

Big Data Analytics ◽

Triboelectric Nanogenerator ◽

Light Weight ◽

Table Tennis ◽

Self Powered

With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

Download Full-text

A real-time control framework for smart power networks: Design methodology and stability

Automatica ◽

10.1016/j.automatica.2015.05.003 ◽

2015 ◽

Vol 58 ◽

pp. 43-50 ◽

Cited By ~ 45

Author(s):

Xuan Zhang ◽

Antonis Papachristodoulou

Keyword(s):

Real Time ◽

Design Methodology ◽

Power Networks ◽

Real Time Control ◽

Smart Power ◽

Time Control ◽

Control Framework

Download Full-text

Design and Implementation of Real-time Video Compression System Control Framework

2009 WRI International Conference on Communications and Mobile Computing ◽

10.1109/cmc.2009.244 ◽

2009 ◽

Author(s):

Li Xiaoli ◽

Liu Chao ◽

Wang Qiang ◽

Ding Wenrui

Keyword(s):

Real Time ◽

Video Compression ◽

System Control ◽

Compression System ◽

Design And Implementation ◽

Control Framework

Download Full-text

Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

Applied Sciences ◽

10.3390/app8071178 ◽

2018 ◽

Vol 8 (7) ◽

pp. 1178 ◽

Cited By ~ 3

Author(s):

Sen Kuo ◽

Yi-Rou Chen ◽

Cheng-Yuan Chang ◽

Chien-Wen Lai

Keyword(s):

Noise Reduction ◽

Real Time ◽

Random Noise ◽

Active Noise Control ◽

Noise Cancellation ◽

Experimental Results ◽

Path Model ◽

Light Weight ◽

Active Noise ◽

Natural Sound

This paper presents the development of active noise control (ANC) for light-weight earphones, and proposes using music or natural sound to estimate the critical secondary path model instead of extra random noise. Three types of light-weight ANC earphones including in-ear, earbud, and clip phones are developed. Real-time experiments are conducted to evaluate their performance using the built-in microphone inside KEMAR’s ear and to compare with commercially-available ANC headphones and earphones. Experimental results show that the developed light-weight ANC earphones achieve higher noise reduction than the commercial ANC headphones and earphones, and the in-ear ANC earphone has the best noise reduction performance.

Download Full-text