scholarly journals System Integration for Component-Based Manzai Robots with Improved Scalability

2020 ◽  
Vol 32 (2) ◽  
pp. 459-468 ◽  
Author(s):  
Tomohiro Umetani ◽  
Satoshi Aoki ◽  
Tatsuya Kitamura ◽  
Akiyo Nadamoto ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
System Integration ◽  
Robot Control ◽  
Integrated Control ◽  
System Component ◽  
Dependent Part ◽  
Robot Systems ◽  
System Maintenance ◽  
Robot Control System

This paper describes system developments for integrating control systems of Manzai robot duos that automatically generate Manzai scripts from Internet articles based on given keywords, as well as improvements in the scalability of the integrated control system. Component-based Manzai robots controlled by RT-Middleware have been developed. However, conventional Manzai robot systems, the control systems of which are individually developed, experience some difficulties in interface integration and system maintenance as well as in scalability. In this study, we built a Manzai robot system excellent in reusability, maintainability and scalability by separating the common part from the hardware-dependent part by using the RT components of RT-Middleware. We also verify the reusability and scalability of the hardware-constrained component groups by implementing the Manzai robot control system into ready-made robots with different types of mechanism. We proved the effectiveness of the developed Manzai robot control system on its implementation results.

scholarly journals Control system of 4-DOF palletizing robot based on improved R control multi-objective trajectory planning

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110027
Author(s):  
Jianqiang Wang ◽  
Yanmin Zhang ◽  
Xintong Liu
Keyword(s):  
Control System ◽  
Trajectory Planning ◽  
Robot Control ◽  
Machining Process ◽  
Planning System ◽  
Positioning Accuracy ◽  
Multi Objective ◽  
Planning Algorithm ◽  
Function Testing ◽  
Robot Control System

To realize efficient palletizing robot trajectory planning and ensure ultimate robot control system universality and extensibility, the B-spline trajectory planning algorithm is used to establish a palletizing robot control system and the system is tested and analyzed. Simultaneously, to improve trajectory planning speeds, R control trajectory planning is used. Through improved algorithm design, a trajectory interpolation algorithm is established. The robot control system is based on R-dominated multi-objective trajectory planning. System stack function testing and system accuracy testing are conducted in a production environment. During palletizing function testing, the system’s single-step code packet time is stable at approximately 5.8 s and the average evolutionary algebra for each layer ranges between 32.49 and 45.66, which can save trajectory planning time. During system accuracy testing, the palletizing robot system’s repeated positioning accuracy is tested. The repeated positioning accuracy error is currently 10−1 mm and is mainly caused by friction and the machining process. By studying the control system of a four-degrees-of-freedom (4-DOF) palletizing robot based on the trajectory planning algorithm, the design predictions and effects are realized, thus providing a reference for more efficient future palletizing robot design. Although the working process still has some shortcomings, the research has major practical significance.

Tele-operation Construction Robot Control System with Virtual Reality

2009 ◽  
Vol 42 (16) ◽  
pp. 639-644 ◽  
Author(s):  
Hironao Yamada ◽  
Tang Xinxing ◽  
Ni Tao ◽  
Zhao Dingxuan ◽  
Ahmad Anas Yusof
Keyword(s):  
Virtual Reality ◽  
Control System ◽  
Robot Control ◽  
Robot Control System

The Design of Gluing Robot Control System Based on CAN Bus

2014 ◽  
Vol 1006-1007 ◽  
pp. 627-630 ◽  
Author(s):  
Xu Dong Yang
Keyword(s):  
Control System ◽  
Real Time ◽  
Software Design ◽  
Robot Control ◽  
Can Bus ◽  
System Structure ◽  
Reliable Control ◽  
The Real ◽  
Data Transferring ◽  
Robot Control System

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.

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