Skip to main content
    • Aa
    • Aa

On the generation of robotic assembly sequences based on separability and assembly motion stability

  • C.K. Shin (a1) and H.S. Cho (a1)

This paper presents a method for the automatic generation of robotic assembly sequences based on the verification of a disassemblability for a part to be disassembled. To derive the disassemblability of a candidate part, we first inference collision free assembly directions by extracting separable directions for the part and calculating the separability which gives information as to how the part can be easily separated. Using the result, we determine the disassemblability defined in terms of the separability and stability costs. The separability cost represents a facility of the part disassembly operation, while the stability cost represents a degree of the stability for the base assembly motion which gives a guidance for design of jig/fixture. The proposed method provides a potentially local optimal solution for finding a cost effective assembly plan, and the feasibility of generating robot motion programs by evaluating separable directions in flexible manufacturing applications. A case study is given to illustrate the concepts and procedure of the proposed scheme.

Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

4. T.L. De Fazio & D.E. Whitney , “Simplified Generation of All Mechanical Assembly SequencesIEEE Journal of Robotics and Automation RA-3, No. 6, 640658 (Dec., 1987).

5. D.F. Baldwin , T.E. Abell , M.C. Max Lui , T.L. De Fazio & D.E. Whitney , “An Integrated Computer Aid for Generating and Evaluating Assembly Sequences for Mechanical ProductsIEEE Transactions of Robotics and Automation 7, No. 1, 7894 (02, 1991).

9. C.J.M. Heemskerk , “The Use of Heuristic in Assembly Sequences PlanningAnnals of the CIRP `(1), 3740 (1989).

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

  • ISSN: 0263-5747
  • EISSN: 1469-8668
  • URL: /core/journals/robotica
Please enter your name
Please enter a valid email address
Who would you like to send this to? *



Full text views

Total number of HTML views: 0
Total number of PDF views: 4 *
Loading metrics...

Abstract views

Total abstract views: 61 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 21st September 2017. This data will be updated every 24 hours.