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Path planning by analogy

Authors: Hiroyuki Ogata; Makoto Mizukawa;

Path planning by analogy

Abstract

A new framework is proposed for generating trajectories for robots. This "path planning by analogy" approach uses problems and solutions acquired from previous operator teaching or automatic path planning. Unlike traditional path-planning methods, users need not specify goals or prepare search heuristics. Instead, users specify the correspondence of objects in the task environment to those in a reference environment. "Path planning by analogy" reduces the amount of operator instruction and the computational cost of making a path, and can generate a trajectory close to the desired trajectory.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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