This work serves as a primer for quantitative user studies, and we hope will urge future robot path planners to consider a richer set of social capabilities.
Abstract: Robot path planning in human environments benefits significantly from considering more than obstacle avoidance, and recent works in this area ...
Our approach is based on extracting a static plan using A∗ search on the grid map by minimizing safety, disturbance and path length costs and then refining it ...
Robot path planning in human environments benefits significantly from considering more than obstacle avoidance, and recent works in this area proposed ...
Anticipatory Robot Path Planning in Human Environments. A. Cosgun, A. Sisbot, H. I. Christensen. August, 2016. Cite. Type. 1. Publication. The 25th IEEE ...
Sep 8, 2020 · We derive a framework that includes a simulated lost person behavior model, as well as a human searcher behavior model that is informed by data ...
Anticipatory robot path planning in human environments ; Event. 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) ...
As path-planning in a human-centric environment es- sentially constitutes a case of human-robot interaction, re- searchers have assessed navigation not just ...
Abstract—Efficient collaboration requires collaborators to monitor the behaviors of their partners, make inferences about their task intent, and plan their ...
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Apr 24, 2024 · ... By predicting human motion trends, the robot can perform path planning to avoid collision or drift with people and improve collaboration ...