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Participants under the "human-aware-first" condition worked with a robot in the human-aware motion-planning mode, whereas those under the "standard-first" condition worked with the robot in the standard motion planning mode.
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The robot was programmed such that it could operate in two motion-planning modes: standard and human aware.
However, it is well known that appropriate motion planning can make the most of a more complex workspace by means of transitions between working mode and/or assembly mode.
Further, the fact that significant differences emerged between the two independent groups of participants before exposure to the second robot mode for most of these metrics provides very strong evidence in support of human-aware motion planning (Hypothesis 1).
Path planning has become a central problem in motion planning.
Such interdependencies make motion planning complex.
A motion planning metric is defined as a metric used in automatic motion planning methods.
Probabilistic completeness is an important property in motion planning.
Linear motion planning cycling position is 250 ms.
This paper deals with how to introduce motion skills in motion planning of multiple mobile robots.
In respective fields, assembly planning and motion planning are well studied.
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