Assessing the social criteria for human-robot collaborative navigation: A comparison of human-aware navigation planners
Assessing the social criteria for human-robot collaborative navigation: A comparison of human-aware navigation planners
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评估人机协作导航的社会标准:人类意识导航规划器的比较
DOI:
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发表时间:
2017
期刊:
影响因子:
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通讯作者:
R. Alami
中科院分区:
文献类型:
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作者:
Harmish Khambhaita;R. Alami
This paper focuses on requirements for effective human robot collaboration in interactive navigation scenarios. We designed several use-cases where humans and robot had to move in the same environment that resemble canonical path-crossing situations. These use-cases include open as well as constrained spaces. Three different state-of-the-art humanaware navigation planners were used for planning the robot paths during all selected use-cases. We compare results of simulation experiments with these human-aware planners in terms of quality of generated trajectories together with discussion on capabilities and limitations of the planners. The results show that the human-robot collaborative planner [1] performs better in everyday path-crossing configurations. This suggests that the criteria used by the human-robot collaborative planner (safety, time-to-collision, directional-costs) are possible good measures for designing acceptable human-aware navigation planners. Consequently, we analyze the effects of these social criteria and draw perspectives on future evolution of human-aware navigation planning methods.