On the Importance of Environments in Human-Robot Coordination
On the Importance of Environments in Human-Robot Coordination
复制标题
论环境在人机协调中的重要性
DOI：
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复制
发表时间：
2021
期刊：
影响因子：
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通讯作者：
S. Nikolaidis
中科院分区：
文献类型：
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作者：
Matthew C. Fontaine;Ya;Yulun Zhang;Bryon Tjanaka;S. Nikolaidis
在研究机器人与人类合作时，大部分关注点都集中在机器人策略上，这些策略可以在协作任务中与人类队友流畅地协调。然而，很少有人强调的环境对协调行为的影响。为了彻底探索导致不同行为的环境，我们提出了一个程序生成环境的框架，这些环境（1）在风格上类似于人类创作的环境，（2）保证可由人类-机器人团队解决，（3）在协调措施方面多样化。我们通过模拟和在线用户研究分析程序生成的环境中的过度烹饪基准域。结果表明，即使机器人运行相同的规划算法，环境也会导致质量不同的新兴行为和统计上显著的协作流畅性指标差异。
When studying robots collaborating with humans, much of the focus has been on robot policies that coordinate fluently with human teammates in collaborative tasks. However, less emphasis has been placed on the effect of the environment on coordination behaviors. To thoroughly explore environments that result in diverse behaviors, we propose a framework for procedural generation of environments that are (1) stylistically similar to human-authored environments, (2) guaranteed to be solvable by the human-robot team, and (3) diverse with respect to coordination measures. We analyze the procedurally generated environments in the Overcooked benchmark domain via simulation and an online user study. Results show that the environments result in qualitatively different emerging behaviors and statistically significant differences in collaborative fluency metrics, even when the robot runs the same planning algorithm.
自举条件 GAN 用于视频游戏关卡生成
DOI：
10.1109/cog47356.2020.9231576
发表时间：
2020
期刊：
IEEE Conference on Games
影响因子：
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作者：
Rodriguez Torrado, Ruben;Khalifa, Ahmed;Cerny Green, Michael;Justesen, Niels;Risi, Sebastian;Togelius, Julian
通讯作者：
Togelius, Julian
DOI：
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发表时间：
2018
期刊：
Workshop on the Algorithmic Foundations of Robotics
影响因子：
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作者：
Broad, Alexander;Murphey, Todd;Argall, Brenna
通讯作者：
Argall, Brenna