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- W3044013888 abstract "For adoption of Autonomous Mobile Robots (AMR) across a breadth of industries, they must navigate around humans in a way which is safe and which humans perceive as safe, but without greatly compromising efficiency. This work aims to classify the Human-Robot Spatial Interaction (HRSI) situation of an interacting human and robot, to be applied in Human-Aware Navigation (HAN) to account for situational context. We develop qualitative probabilistic models of relative human and robot movements in various HRSI situations to classify situations, and explain our plan to develop per-situation probabilistic models of socially legible HRSI to predict human and robot movement. In future work we aim to use these predictions to generate qualitative constraints in the form of metric cost-maps for local robot motion planners, enforcing more efficient and socially legible trajectories which are both physically safe and perceived as safe." @default.
- W3044013888 created "2020-07-29" @default.
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- W3044013888 date "2020-01-01" @default.
- W3044013888 modified "2023-10-16" @default.
- W3044013888 title "Towards Safer Robot Motion: Using a Qualitative Motion Model to Classify Human-Robot Spatial Interaction" @default.
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- W3044013888 doi "https://doi.org/10.1007/978-3-030-63486-5_27" @default.
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