2017
DOI: 10.1007/s00158-017-1798-x
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End-effector design optimisation and multi-robot motion planning for handling compliant parts

Abstract: The deformation of compliant parts during material handling is a critical issue that can significantly affect the productivity and the parts' dimensional quality. There are multiple relevant aspects to consider when designing end-effectors to handle compliant parts, e.g. motion planning, holding force, part deformations, collisions, etc. This paper focuses on multi-robot material handling systems where the end-effector designs influence the coordination of the robots to prevent that these collide in the shared… Show more

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Cited by 13 publications
(10 citation statements)
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References 26 publications
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“…Reversible deformations should not contribute to the value of the objective function in Eq. (16). For scenarios where any deterioration of part dimensional quality needs to be strictly avoided, it becomes necessary to determine the cycle-time threshold for which all deformations during handling are reversible.…”
Section: Results Interpretationmentioning
confidence: 99%
See 3 more Smart Citations
“…Reversible deformations should not contribute to the value of the objective function in Eq. (16). For scenarios where any deterioration of part dimensional quality needs to be strictly avoided, it becomes necessary to determine the cycle-time threshold for which all deformations during handling are reversible.…”
Section: Results Interpretationmentioning
confidence: 99%
“…These characteristics, together with the fact that only a single isolated material handling operation is considered, severely limits the methodology rendering it inapplicable to multi-robot systems for material handling of compliant parts. Recent research by Glorieux et al [16] proposes optimising the end-effector design co-adaptively with the robot motion planning to primarily improve productivity, and next minimise part deformations. Results showed a significant improvement in productivity of the robotic material handling system.…”
Section: Andmentioning
confidence: 99%
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“…); robot technological parameters; obstacles in the robot workspace; color and surface finish of the part being measured. All those attributes affect the overall robot path and trajectory [4], which impact the cycle time but also the quality of the collected data. "Data quality" is related to both: (1) amount of surface data points collected from a given pose of the robot; (2) accuracy and repeatability of the measurement process.…”
Section: Introductionmentioning
confidence: 99%