scholarly journals Pedestrian Models for Robot Motion

2020 ◽  
Vol 5 ◽  
pp. A90
Author(s):  
Francesco Zanlungo ◽  
Florent Ferreri ◽  
Jani Even ◽  
Luis Yoichi Morales ◽  
Zeynep Yücel ◽  
...  
Keyword(s):  
Control System ◽  
Robot Control ◽  
Robot Motion ◽  
Human Group ◽  
Robot System ◽  
Group Motion ◽  
Robot Control System

We discuss the development of a robot system able to replicate human group motion and show how a pedestrian model may be converted to a robot control system in order to achieve this goal.

Research of Soccer Robot Control System with Analysis of Scientific Materials

2011 ◽  
Vol 327 ◽  
pp. 193-197
Author(s):  
Sheng Jie Zhao
Keyword(s):  
Control System ◽  
Robot Control ◽  
High Performance ◽  
High Accuracy ◽  
Motion Controller ◽  
Soccer Robot ◽  
Robot System ◽  
Time Performance ◽  
Physical Experiments ◽  
Robot Control System

Aiming at the problem that the intelligence is not high and the limit of the expandability of the soccer robot control system, this article has described the soccer robot control system which have been designed based on ARM9 and Motion-controller LM629 and Power Amplifier L298. And this system will simplify the design of the hardware and software of the robot system and the system is of high performance, high accuracy. The physical experiments in the lab environment and results in actual competitions prove that the robot control system has a high accuracy, stability and high real-time performance.

scholarly journals Development of CT-guided Brain Surgery Assisted by Robot System. 2nd Report. Construction of Robot Control System.

1998 ◽  
Vol 64 (626) ◽  
pp. 3881-3887
Author(s):  
Hiroyuki KOYAMA ◽  
Takashi KOMEDA ◽  
Tateki UCHIDA ◽  
Hiroyasu FUNAKUBO ◽  
Kintomo TAKAKURA
Keyword(s):  
Control System ◽  
Robot Control ◽  
Brain Surgery ◽  
Robot System ◽  
Ct Guided ◽  
Robot Control System

Robot Control System ARS/A for Research

1990 ◽  
Vol 2 (5) ◽  
pp. 404-410 ◽  
Author(s):  
Kosei Kitagaki ◽  
◽  
Marasu Uchiyama ◽  
Keyword(s):  
Control System ◽  
Real Time ◽  
Robot Control ◽  
Industrial Robot ◽  
Host Computer ◽  
Open Architecture ◽  
Level Control ◽  
Robot System ◽  
C Language ◽  
Robot Control System

This paper presents an open architecture robot control system for lower level manipulator control such as motion control or force control. Basically, the system consists of three elements: an industrial robot manipulator called A-HAND, a servo computer with the motor driver units, and a host computer. The system is called ARS/A (Aoba Robot System for A-HAND). The robot and the servo computer are regarded as an independent robotic module with a standard interface to the host computer, from which it accepts a set of real time commands to control the robot. Any computer having an interface may be connected to the robotic module as a host computer. To design the set of real time commands is a crucial issue because it determines the capability and flexibility of the robot system. This paper proposes a set of real time commands which are needed for lower level control experiments. The set was found through trials. A real time monitor called MOS/A (Motor Operating System for A-HAND) to process the commands to control the robot are implemented on the servo computer. The MOS commands are defined as functions of a C language on the host computer. The C language is called ARC/A (Aoba Robot C Language for A-HAND) to have other robot control utility functions such as graphic simulation functions as well as the MOS functions. Sample programs show that ARC/A is an efficient programming tool for lower level control.

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.

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