2017
DOI: 10.1016/j.rcim.2016.08.006
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Multi-robot spot-welding cells for car-body assembly: Design and motion planning

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Cited by 62 publications
(33 citation statements)
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“…In [19], the collision-free trajectories of two collaborative robot manipulators are planned using a new fuzzy genetic algorithm. Furthermore, path planning has been incorporated into a design problem for car-body assembly [20]. Generalized planning methods can be found in [21].…”
Section: A Related Workmentioning
confidence: 99%
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“…In [19], the collision-free trajectories of two collaborative robot manipulators are planned using a new fuzzy genetic algorithm. Furthermore, path planning has been incorporated into a design problem for car-body assembly [20]. Generalized planning methods can be found in [21].…”
Section: A Related Workmentioning
confidence: 99%
“…Equation 18is the mapping constraint between the time-space network and the physical network. Constraints (19)- (20) guarantee the continuity of the arrival time and the departure time for robot k when visiting arc (i, j).…”
Section: B Modeling Using a Tsn Modelmentioning
confidence: 99%
“…Recently, Pelleginelli et. al, proposed an extended formalisation of design and motion planning problems for spot-welding multi-robot cells [16]. However, both solutions only considered previously selected equipment or reduced features and did not include the optimal selection of such equipment.…”
Section: Related Workmentioning
confidence: 99%
“…systems, Glorieux et al proposed a novel methodology including velocity tuning and time delays to determine productivity or energy-optimal coordinated trajectories, and experimental results showed the methodology was competitive [3,4]. What is more, based on discretized coordination space, Montano et al described a method for the online temporal coordination of multiple robots in a shared workspace whose paths were computed independently, and the method was applied successfully by simulation and experiment [5][6][7][8]. Besides, based on a combination of simulation-based optimization and time-synchronized hardware-in-the-loop simulation, Svensson et al introduced an off-line parameter tuning method for an automotive sheet metal press line, and case study verified the method successfully [9,10].…”
Section: Introductionmentioning
confidence: 99%