Integrating Industrial Robots Through a Contact Method
Author(s) -
Ivan Sanchez-Calleja,
Ruben Ferrero-Guillen,
Alberto Martinez-Gutierrez,
Javier Diez-Gonzalez
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3619845
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The evolving industrial paradigm demands high quality procedures and automation to adapt to dynamic market conditions. As a consequence, novel robotic systems are integrated within the current digital industrial environments ensuring real-time adaptation to production changes and safe operation with humans and machines. Collaborative robots (cobots) and Autonomous Mobile Robots (AMRs) are designed to follow these principles enhancing the current digital industrial revolution. However, while AMRs are subjected to navigation errors, cobots incur in positioning errors due to the stepper motors operation, resulting in a combined interaction error that do not allow a direct accurate operation between these robots. The addressing of this challenge requires the definition of a robust integration framework between these robots that enables the compensation for the interaction errors occurring during their joint operation. To achieve this challenge, in this paper, we propose a novel Fictitious Points Compensation Methodology (FPCM) based on contacts on the AMR structure and an appropriate error characterization that compensates the interaction errors, proving that these errors are systematic. Practically, we make use of fictitious points that define the final position of the cobot end-effector to minimize the final interaction error. The validity of the proposal is verified through two practical cases showing angular errors up to 0.04°, and placement errors up to 0.13 mm, which validates both the proposal and the error characterization. Thus, our method efficiently addresses the challenge of integrating heterogeneous robotic systems within the current industrial paradigm.
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