DYNAMIC PATH GENERATION VIA LOAD MONITORING WITH A FORCE SENSOR FOR ROBOT PROCESSING USING A CHISEL

2021 ◽  
Author(s):  
Yusuke Nakamura ◽  
Gakuhito Hirasawa
Keyword(s):  
Force Sensor ◽  
Path Generation ◽  
Load Monitoring ◽  
Dynamic Path

scholarly journals ROBOT PROCESSING EXPERIMENT USING A CHISEL BY GENERATING DYNAMIC PATHS FROM LOAD MONITORING WITH A FORCE SENSOR

2021 ◽  
Vol 27 (67) ◽  
pp. 1563-1567
Author(s):  
Yusuke NAKAMURA ◽  
Keita KADO ◽  
Gakuhito HIRASAWA
Keyword(s):  
Force Sensor ◽  
Load Monitoring

Tire Rolling Kinematics Model for an Intelligent Tire Based on an Accelerometer

2020 ◽  
Vol 48 (4) ◽  
pp. 287-314
Author(s):  
Yan Wang ◽  
Zhe Liu ◽  
Michael Kaliske ◽  
Yintao Wei
Keyword(s):  
Elastic Deformation ◽  
Estimation Algorithm ◽  
Force Sensor ◽  
Euler Method ◽  
Rolling Contact ◽  
Body Motion ◽  
Identification Algorithm ◽  
Active Perception ◽  
Kinematics Model ◽  
Ring Model

ABSTRACT The idea of intelligent tires is to develop a tire into an active perception component or a force sensor with an embedded microsensor, such as an accelerometer. A tire rolling kinematics model is necessary to link the acceleration measured with the tire body elastic deformation, based on which the tire forces can be identified. Although intelligent tires have attracted wide interest in recent years, a theoretical model for the rolling kinematics of acceleration fields is still lacking. Therefore, this paper focuses on an explicit formulation for the tire rolling kinematics of acceleration, thereby providing a foundation for the force identification algorithms for an accelerometer-based intelligent tire. The Lagrange–Euler method is used to describe the acceleration field and contact deformation of rolling contact structures. Then, the three-axis acceleration vectors can be expressed by coupling rigid body motion and elastic deformation. To obtain an analytical expression of the full tire deformation, a three-dimensional tire ring model is solved with the tire–road deformation as boundary conditions. After parameterizing the ring model for a radial tire, the developed method is applied and validated by comparing the calculated three-axis accelerations with those measured by the accelerometer. Based on the features of acceleration, especially the distinct peak values corresponding to the tire leading and trailing edges, an intelligent tire identification algorithm is established to predict the tire–road contact length and tire vertical load. A simulation and experiments are conducted to verify the accuracy of the estimation algorithm, the results of which demonstrate good agreement. The proposed model provides a solid theoretical foundation for an acceleration-based intelligent tire.

On Path Generation Method for Laser Cleaning Robot Based on Line Structured Light

2020 ◽  
Author(s):  
Qingzeng Ma ◽  
Dongbin Zhang ◽  
Shuo Jin ◽  
Yuan Ren ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Structured Light ◽  
Laser Cleaning ◽  
Path Generation ◽  
Cleaning Robot ◽  
On Line

Online Gearbox-Load- Monitoring to Increase Gearbox Reliability

2010 ◽  
Vol 1 ◽  
pp. 64-68
Author(s):  
Volker Kreidler ◽  
Holger Daum
Keyword(s):  
Load Monitoring

Piezoelectric Mount Force Sensor of Placement System for Surface Mount Devices.

1997 ◽  
Vol 63 (5) ◽  
pp. 664-668 ◽  
Author(s):  
Daizo TAKAOKA ◽  
Akira SAKAGUCHI ◽  
Yoshitoshi MORITA ◽  
Makoto YAMADA ◽  
Tomomi YAMAGUCHI
Keyword(s):  
Force Sensor ◽  
Surface Mount

Minimum Energy Wind Dependent Optimised Path Generation for Multirotors

2021 ◽  
Author(s):  
Alexander McConville ◽  
Colin Greatwood ◽  
Duncan Hine ◽  
Peiman Moradi ◽  
Thomas S. Richardson
Keyword(s):  
Minimum Energy ◽  
Path Generation
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