Abstract
Outlines the state‐of‐the‐art in obstacle avoidance
and path planning for industrial robots that is practical on the current
generation of computer hardware. Describes practical vehicle planners and
planning for manipulators. Summarizes that obstacle avoidance and path
planning are techniques with differing goals. Sonar is the standard method of
obstacle avoidance systems which is largely limited by the reliability of the
sensors used. Path planning however is limited by two things: the
algorithms used and the quality of the data available to planners. Concludes
that it is now possible to produce path planning and obstacle avoidance
systems that can be used in practical robotic systems.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Cited by
12 articles.
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