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Natural Task Decomposition with Intrinsic Potential Fields

By et al. Stephen Hart


Any given task can be solved in a number of ways, whether through path-planning, modeling, or control techniques. In this paper, we present a methodology for natural task decomposition through the use of intrinsically meaningful potential fields. Specifically, we demonstrate that using classical conditioning measures in a concurrent control framework provides a domain-general means for solving tasks. Among the conditioning measures we use are manipulability [1], localizability [2], and range of motion. To illustrate the value of our approach we demonstrate its applicability to an industrially relevent inspection task

Year: 2007
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