Reference Trajectory Optimization for an Industrial Robot

Chernikov, Sergey; Blagodarov, D.A.; Safonov, Y.M.; Gosteva, Lidia; Fedortsov, N.N.

doi:10.1109/icepds.2018.8571726

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…In [10] a reference trajectory optimisation method is developed for dual arm robots in industrial tasks. Both arms work in the same workspace, so each arm has to consider the position of the other arm as an obstacle and change its trajectory if necessary.…”

Section: Multi-robot Systemsmentioning

confidence: 99%

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Optimization of the pick and place sequence of a bimanual collaborative robot in an industrial production line

Méndez,

Perez-Vidal,

Segura

2023

Preprint

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This paper focuses on optimizing pick-and-place tasks performed by a dual-arm collaborative robot in a specific shoe manufacturing industry environment. The robot must identify the parts of a shoe placed on a tray, pick them up, and place them in a shoe mold for further processing. The shoe parts arrive on the tray in random positions and angles and can be picked up in a different order. Optimizing these tasks could increase the assembly speed of each unit and improve shoe production. To achieve this goal, a mathematical model based on binary integer linear programming (BILP) has been developed. This model determines the optimal sequence for picking and placing the shoe parts in the mold, thus minimizing the time required for picking and decision-making. The effectiveness of this approach has been tested using two 3-piece unit shoe models: one for training and another for validation. These models encompass a total of 500 trays. An analysis of the results reveals that BILP offers advantages for task motion planning in complex environments with multiple trajectories and the potential for collisions between arms. The model's generalizability to shoes with n assembly parts further confirms its robustness for various part counts.

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Section: Multi-robot Systemsmentioning

confidence: 99%

“…Loops (10). It is not possible to generate a path that creates a closed loop between two pieces without ending or starting at the starting point.…”

Section: Bilp Model For N Piecesmentioning

confidence: 99%

Optimization of the pick and place sequence of a bimanual collaborative robot in an industrial production line

Méndez,

Perez-Vidal,

Segura

2023

Preprint

View full text Add to dashboard Cite

show abstract

Optimization of the pick-and-place sequence of a bimanual collaborative robot in an industrial production line

Borrell,

Perez-Vidal,

Segura

2024

Int J Adv Manuf Technol

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This paper focuses on optimising pick-and-place tasks performed by a dual-arm collaborative robot in a specific shoe manufacturing industry environment. The robot must identify the pieces of a shoe placed on a tray, pick them up, and place them in a shoe mold for further processing. The shoe pieces arrive on the tray in random positions and angles and can be picked up in a different order. Optimising these tasks could increase the assembly speed of each unit and improve shoe production. To achieve this goal, a mathematical model based on binary integer linear programming (BILP) has been developed. This model determines the optimal sequence for picking and placing the shoe pieces in the mold, thus minimising the time required for picking and decision-making. The effectiveness of this approach has been tested using two 3-piece unit shoe models: one for training and another for validation. These models encompass a total of 500 trays. An analysis of the results reveals that BILP offers advantages for task motion planning in complex environments with multiple trajectories and the potential for collisions between arms. The model’s generalizability to shoes with n assembly pieces further confirms its robustness for various piece counts.

show abstract