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For a number of missions, it is shown experimentally that the proposed motion planning agrees well with the results.
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Additionally, we found that participants were less comfortable with the robotic assistant that used standard motion planning, agreeing more strongly with the statement "The robot came too close to me for my comfort".
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.
In respective fields, assembly planning and motion planning are well studied.
Participants worked with an adaptive robot incorporating human-aware motion planning and with a baseline robot using shortest-path motions.
The specific motion-planning adaptation technique we implemented to investigate these questions is a method we call human-aware motion planning.
PRM planning is currently the most successful approach for motion planning of complex robots with many degrees of freedom.
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