Ebinger, Timothy (2018-12). A General Framework for a Sampling-Based Planning Approach to Disassembly Sequence Planning. Master's Thesis. | Thesis individual record
abstract

We present a framework for disassembly sequence planning. This framework is versatile, allowing
different types of search schemes (exhaustive vs. preemptive), various part separation
techniques, and the ability to group parts into subassemblies to improve solution efficiency and
parallelism. This enables a truly hierarchical approach to disassembly sequence planning. Several
implementations of the framework are in place, and perform better than existing state-of-the-art
methods. Not only does the framework identify the necessary components for a successful disassembly
planner, it will help in the analysis of problems and what kind of solvers are most effective
in different scenarios.
The framework also supports the ability to plan for a manipulator while planning the disassembly
sequence itself. Currently, this means planning for a simple manipulator arm to carry out the
disassembly plan generated by the framework. This is done by first placing and validating the manipulator's
end effector along all of the motions of each subassembly removed from the assembly,
and then finding valid placements for the rest of the manipulator. The motions of the manipulator
itself are left for future work, though valid placements for the manipulator are still found as a final
step.

etd chair
publication date
2018