Sensorless Friction-Compensated Passive Lead-Through Programming for Industrial Robots

Andreas Stolt, Fredrik Bagge Carlson, Mahdi Ghazaei, Ivan Lundberg, Anders Robertsson, Rolf Johansson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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Abstract

Industrial robots are important when the degree of automation in industry is increased. To enable the use of robots also when the products change rapidly, the programming must be quick and easy to perform. One way to accomplish this is to use lead-through programming, i.e., the user manually guides the robot. This paper presents a sensorless approach, and thus avoids the need for a typically expensive sensor. The method is based on disabling low-level joint controllers combined with gravity compensation. It is reported how the performance can be improved by compensating for friction. Further, a method for detecting small external torques is described, based on the use of the low-level joint controllers with increased integral gain. The lead-through programming is experimentally evaluated using two different industrial robots.
Original languageEnglish
Title of host publication2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages3530-3537
Number of pages8
DOIs
Publication statusPublished - 2015
EventIEEE/RSJ International Conference on Intelligent Robots and Systems , 2015 - Hamburg, Hamburg, Germany
Duration: 2015 Sept 282015 Oct 2

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems , 2015
Abbreviated titleIROS2015
Country/TerritoryGermany
CityHamburg
Period2015/09/282015/10/02

Bibliographical note

key=stolt_etal_iros15
month=09--10

Subject classification (UKÄ)

  • Control Engineering
  • Robotics and automation

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