Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm

Yuanjun Laili, Fei Tao, Duc Pham, Yongjing Wang, Lin Zhang

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
379 Downloads (Pure)

Abstract

Automated disassembly of End-of-Life (EoL) products can be difficult to implement due to uncertainties in their conditions. An automatic re-planning function is required to enable flexible adjustments of disassembly plans and thus increase disassembly efficiency. The re-planning function is able to detect subassemblies and separable components, and adjust disassembly sequences and directions when components interlock and are irremovable. This paper presents a two-pointer detection strategy to find detachable subassemblies very quickly. A summation operator and a list with two pointers are used to check the interferences between components in a minimum number of steps. Then, a ternary bees algorithm is proposed to identify new disassembly sequences and directions. The algorithm combines the merits of a greedy search and meta-heuristic techniques by using only three collaborative potential solutions and three concurrent operations. Experimental results show that the proposed approach is able to perform a rapid subassembly detection and sequence optimisation for a robotic disassembly task, thus allowing real-time re-planning.
Original languageEnglish
Pages (from-to)130-142
Number of pages13
JournalRobotics and Computer-Integrated Manufacturing
Volume59
Early online date9 Apr 2019
DOIs
Publication statusPublished - 1 Oct 2019

Keywords

  • Robotic disassembly
  • Component and subassembly detection
  • Sequence planning
  • Bees algorithm

Fingerprint

Dive into the research topics of 'Robotic disassembly re-planning using a two-pointer detection strategy and a super-fast bees algorithm'. Together they form a unique fingerprint.

Cite this