首页|New Findings from University of Ghent Describe Advances in Robotics (Optimization-based Estimation of the Execution Time of a Robotic Assembly Task Sequence)
New Findings from University of Ghent Describe Advances in Robotics (Optimization-based Estimation of the Execution Time of a Robotic Assembly Task Sequence)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Springer Nature
Fresh data on Robotics are presented in a new report. According to news reporting from Ghent, Belgium, by NewsRx journalists, research stated, "Estimating the execution time of assembly task sequences of a new geometric model is an essential prerequisite for task allocation and resource planning decisions in smart multi-robotic assembly cells. This paper discusses an optimization-based method to estimate the execution time of a full sequence of assembly tasks, including picking, aligning, and insertion." Financial support for this research came from Higher Education Commision, Pakistan.
GhentBelgiumEuropeEmerging TechnologiesMachine LearningRobotRoboticsRobotsUniversity of Ghent
NETL
NSTL
Springer Nature
