Simple Force Calibration Method for Industrial Robots by Dual-axis Rotation

In order to realize a flexible automation system, we generally introduce several sensors to monitor states in the system and to handle a ``uncertainty'' such as tolerance, obstacles, position error. When we set up the robot system with sensors in a real factory, we have not so much time to calibrate and set up the sensors. Therefore, we should set up sensors in a quite simple and practical way. In this paper, we developped a simple calibration method for estimating precisely actual reaction forces from the sensor outputs. After executing the proposed calibration method, we achieved to eliminate outliers from sensor outputs in a practical short time.

Authors

Institutions

Publication Details

Journal
Journal of the Robotics Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.7210/jrsj.43.595
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simple Force Calibration Method for Industrial Robots by Dual-axis Rotation

Koji Shiratsuchi, Yasuyoshi Yokokohji, Rintaro Haraguchi
Journal of the Robotics Society of Japan
Robotic Mechanisms and Dynamics
article

Simple Force Calibration Method for Industrial Robots by Dual-axis Rotation

Koji Shiratsuchi, Yasuyoshi Yokokohji, Rintaro Haraguchi
article en

Abstract

In order to realize a flexible automation system, we generally introduce several sensors to monitor states in the system and to handle a ``uncertainty'' such as tolerance, obstacles, position error. When we set up the robot system with sensors in a real factory, we have not so much time to calibrate and set up the sensors. Therefore, we should set up sensors in a quite simple and practical way. In this paper, we developped a simple calibration method for estimating precisely actual reaction forces from the sensor outputs. After executing the proposed calibration method, we achieved to eliminate outliers from sensor outputs in a practical short time.

Journal of the Robotics Society of JapanVol. 43(6)
Mitsubishi Electric (United States) (US), Kobe University (JP)
Openalex Percentile: Top 79%
Robotic Mechanisms and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.