Open AccessDevelopment of the algorithm for the optimization of objects pick up sequence on a conveyor belt
Author(s) -
A. V. Seredkin,
Maxim Bobrov,
M. P. Tokarev,
O. A. Gobyzov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1677/1/012195
Subject(s) - sorting , robotics , conveyor belt , computer science , artificial intelligence , sorting algorithm , smt placement equipment , state (computer science) , popularity , algorithm , sequence (biology) , robot , tree (set theory) , engineering , mathematics , mechanical engineering , psychology , social psychology , biology , genetics , mathematical analysis
With recent advances in robotics, various methods and systems for robotic movement planning have gained popularity. In particular, the problem of planning of pick and move operations for the robotic sorting cells has drawn certain attention because new strategies and algorithms become a necessity as a robotic sorting systems application area extends. In the present work, a new algorithm for optimization of sorting operation sequences is proposed and results of its testing on a computer simulation are presented. The algorithm is based on the state tree search method and is aimed for performance improvement of the systems in which the input load can exceed the capacity of the robotic manipulator.