Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations

With the increasing demand for efficiency and profitability in industrial applications, modularity offers significant advantages such as system reconfiguration, reduced acquisition costs, and enhanced versatility. However, achieving compatibility across multi-vendor modular systems remains a challenge, particularly in motion control. This study focuses on improving motion control and sensing compatibility and performance, partly using open-source tools to enhance performance in modular systems. In such systems, effective motion coordination between modules is crucial; without it, operations are constrained to sequential execution, limiting efficiency. This paper quantifies the performance benefits of collaborative motion compared to sequential motion in modular mechatronic systems for pick-and-place operations. The experimental validation, conducted on a robotic manipulator mounted on a linearly sliding platform, demonstrates a substantial improvement. The results show time savings of 36% to 52% and an approximate 35% reduction in energy consumption, highlighting the potential for improved productivity and sustainability in modular automation solutions.

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Publication Details

Journal
Machines
Published
2025-04-23
DOI
https://doi.org/10.3390/machines13050348
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations

Jeroen D. M. De Kooning, Rémy Carlier, Gianni Borghesan, Kurt Stockman et al.
Machines
Modular Robots and Swarm Intelligence
article

Performance Gain of Collaborative Versus Sequential Motion in Modular Robotic Manipulators for Pick-and-Place Operations

Jeroen D. M. De Kooning, Rémy Carlier, Gianni Borghesan, Kurt Stockman, Joris Gillis, Pieter De Clercq
article en

Abstract

With the increasing demand for efficiency and profitability in industrial applications, modularity offers significant advantages such as system reconfiguration, reduced acquisition costs, and enhanced versatility. However, achieving compatibility across multi-vendor modular systems remains a challenge, particularly in motion control. This study focuses on improving motion control and sensing compatibility and performance, partly using open-source tools to enhance performance in modular systems. In such systems, effective motion coordination between modules is crucial; without it, operations are constrained to sequential execution, limiting efficiency. This paper quantifies the performance benefits of collaborative motion compared to sequential motion in modular mechatronic systems for pick-and-place operations. The experimental validation, conducted on a robotic manipulator mounted on a linearly sliding platform, demonstrates a substantial improvement. The results show time savings of 36% to 52% and an approximate 35% reduction in energy consumption, highlighting the potential for improved productivity and sustainability in modular automation solutions.

MachinesVol. 13(5)
Ghent University (BE), Flanders Make (Belgium) (BE), KU Leuven (BE)
Flanders Make, Vlaamse regering
Openalex Percentile: Top 92%
Modular Robots and Swarm Intelligence
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