Gravity Compensation on Humanoid Robot Control with Robust Joint Servo and Non-integrated Rate-gyroscope

2006 ◽  
Author(s):  
Tomomichi Sugihara ◽  
Yoshihiko Nakamura
Keyword(s):  
Robot Control ◽  
Humanoid Robot ◽  
Gravity Compensation

eMOSAIC Model for Humanoid Robot Control

2010 ◽  
pp. 447-457 ◽  
Author(s):  
Norikazu Sugimoto ◽  
Jun Morimoto ◽  
Sang-Ho Hyon ◽  
Mitsuo Kawato
Keyword(s):  
Robot Control ◽  
Humanoid Robot

scholarly journals Humanoid Robot Control System Balance Dance Indonesia and Reader Filters Using Complementary Angle Values

2018 ◽  
Vol 31 ◽  
pp. 10003
Author(s):  
Sholihin ◽  
Eka Susanti
Keyword(s):  
Control System ◽  
Robot Control ◽  
Humanoid Robot ◽  
Sampling Time ◽  
The Other ◽  
Advanced Technology ◽  
Human Being ◽  
Time Sampling ◽  
Filter Coefficient ◽  
Reference Axis

The development of increasingly advanced technology, make people want to be more developed and curiosity to know more to determine the development of advanced technology. Robot is a tool that can be used as a tool for people who have several advantages. Basically humanoid robot is a robot that resembles a human being with all the driving structure. In the application of this humanoid robot manufacture researchers use MPU6050 module which is an important component of the robot because it can provide a response to the angle reference axis X and Y reference axis, the reading corner still has noise if not filtered out beforehand. On the other hand the use of Complementary filters are the answer to reduce the noise. By arranging the filter coefficients and time sampling filter that affects the signal updates corner. The angle value will be the value of the sensor to the process to the PID system which generates output values that are integrated with the servo pulses. Researchers will test to get a reading of the most stable angle for this experiment is the "a" or the value of the filter coefficient = 0.96 and "dt" or the sampling time = 10 ms.

Network-Based Humanoid Robot Remote Interaction with the Actual Situation Fusion Technology

2011 ◽  
Vol 271-273 ◽  
pp. 191-196
Author(s):  
Guo Chen Yu ◽  
Zhi Liang Wang ◽  
Lun Xie ◽  
Jia Ming Xu
Keyword(s):  
Real Time ◽  
Robot Control ◽  
Humanoid Robot ◽  
Rapid Development ◽  
Network Technology ◽  
Fusion Technology ◽  
Robot Interaction ◽  
Control Functions ◽  
Remote Interaction ◽  
Client Program

With the rapid development of network technology, network-based humanoid robot technology will also be open to the development of gradual and orderly progress. This article is based on the C / S architecture, the server responsible for controlling the record of news and information network transit between paragraphs; through remote interaction, real-time client to complete the real humanoid robot control functions. Interoperability between the client, first to sign the server. Server information of all registered users to return to the client process, then the client users will be able to get online users to select the remote robot interaction. .When a user operation, the client program as a virtual robot through the virtual robot laboratory will be displayed in real-time robot control results.

eMOSAIC model for humanoid robot control

2010 ◽  
Vol 68 ◽  
pp. e329-e330
Author(s):  
Norikazu Sugimoto ◽  
Jun Morimoto ◽  
Sang-Ho Hyon ◽  
Mitsuo Kawato
Keyword(s):  
Robot Control ◽  
Humanoid Robot
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