1. Planning with a task modeling framework in manufacturing robotics
- Author
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Stavros Vassos, Jacob Huckaby, and Henrik I. Christensen
- Subjects
assembly ,multirobot system ,Engineering ,multi-robot systems ,Automotive industry ,Planning Domain Definition Language ,Domain (software engineering) ,Task (project management) ,taxonomy ,industrial robots ,Systems Modeling Language ,manufacturing robotics ,robot sensing systems ,Automated planning and scheduling ,manufacturing systems ,automobile manufacturing environment ,Overhead (computing) ,automobile manufacture ,ai planning ,sysml taxonomy ,planning (artificial intelligence) ,formal task modeling ,pddl planning language ,task modeling framework ,planning ,modeling ,business.industry ,Robotics ,Systems engineering ,Artificial intelligence ,Software engineering ,business - Abstract
In this paper we present the idea that by using AI planning in concert with formal task modeling, the overhead associated with plan creation for complex tasks can be reduced. The proposed approach uses a SysML taxonomy to model the system capabilities and the process specification, and the PDDL planning language to determine acceptable objective solutions. This idea is applied to the manufacturing domain, and examples are shown modeling a multi-robot system in an automobile manufacturing environment. A discussion is given regarding the merits of the demonstrated approach.
- Published
- 2013
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