Research on Closed-loop Control of Heavy-duty Industrial Robot Based on Ultrasonic Positioning

2021 ◽  
Author(s):  
Qiang Wan ◽  
Congji Shi ◽  
Zheng Xiong
Keyword(s):  
Closed Loop ◽  
Industrial Robot ◽  
Closed Loop Control ◽  
Heavy Duty ◽  
Loop Control

scholarly journals Performance Evaluation of Closed-loop Industrial Applications Over Imperfect Networks

2019 ◽  
pp. 32-38
Author(s):  
Sándor Rácz ◽  
Géza Szabó ◽  
József Pető
Keyword(s):  
Closed Loop ◽  
Industrial Robot ◽  
Industrial Applications ◽  
Maximum Speed ◽  
Closed Loop Control ◽  
Robot Arm ◽  
5G Networks ◽  
Network Delay ◽  
Performance Impact ◽  
Loop Control

5G networks provide technology enablers targeting industrial applications. One key enabler is the Ultra Reliable Low Latency Communication (URLLC). This paper studies the performance impact of network delay on closed-loop control for industrial applications. We investigate the performance of the closed-loop control of an UR5 industrial robot arm assuming fix delay. The goal is to stress the system at the upper limit of the possible network delay. We prove that to achieve the maximum speed, URLLC is a must have.

Robotic Telepresence

1986 ◽  
Vol 30 (1) ◽  
pp. 43-44 ◽  
Author(s):  
George C. Mohr
Keyword(s):  
Cognitive Functions ◽  
Closed Loop ◽  
Industrial Robot ◽  
Space Station ◽  
Human Operator ◽  
Closed Loop Control ◽  
Loop Control ◽  
Novel Approach ◽  
Operator Tasks ◽  
High Level

The Air Force sees a need for a militarized robot, designed to perform flight line maintenance and repair operations during a chemical/biological/radiological attack, or to assist man in space operations such as constructing a space station or performing such tasks as satellite inspection, diagnosis, repair, modification or deactivation. Obviously, these tasks require more than the pre-programmed behavior of an industrial robot. To obtain the high degree of adaptability required, the robot needs either the closed-loop control of a human operator, or a high level “artificial intelligence” capable of emulating human cognitive functions. Robotic telepresence is a novel approach to closed-loop control. By coupling the human operator's visual, tactile, motor and cognitive functions with a remote robot's “head, eyes, and hands,” the human operator is placed effectively “in-the-scene.” With this approach, the natural synergism between the human visual system and hands is exploited to endow the robotic system with human-like capacities to inspect, evaluate, and manipulate. Through robotic telepresence technology, the essential human operator tasks can then be performed in a lethally hazardous environment without exposing the human operator directly.

The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

2012 ◽  
Vol 220 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Sandra Sülzenbrück
Keyword(s):  
Empirical Research ◽  
Visual Feedback ◽  
Closed Loop ◽  
Motor Planning ◽  
Visual Input ◽  
Closed Loop Control ◽  
Loop Control ◽  
Feedback Type ◽  
Effective Use ◽  
The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

118-LB: Glucose Variability throughout the Menstrual Cycle on Closed-Loop Control in Type 1 DM

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 118-LB
Author(s):  
CAROL J. LEVY ◽  
GRENYE OMALLEY ◽  
SUE A. BROWN ◽  
DAN RAGHINARU ◽  
YOGISH C. KUDVA ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Closed Loop ◽  
Glucose Variability ◽  
Closed Loop Control ◽  
Loop Control ◽  
Type 1 Dm

101-LB: Eighteen-Month Use of Closed-Loop Control (CLC): A Randomized, Controlled Trial

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 101-LB
Author(s):  
SUE A. BROWN ◽  
DAN RAGHINARU ◽  
BRUCE A. BUCKINGHAM ◽  
YOGISH C. KUDVA ◽  
LORI M. LAFFEL ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Closed Loop ◽  
Controlled Trial ◽  
Closed Loop Control ◽  
Loop Control ◽  
Randomized Controlled
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