Collaborative Burger Stacking Experiment
收藏arXiv2025-09-30 收录
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https://sites.google.com/view/partner-aware-ucb
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资源简介：
该数据集是一项以人类受试者为主的研究，研究中参与者与机器人手臂协作，共同完成汉堡堆叠任务，旨在最大化顾客满意度。参与者获得了每小时15美元的补偿，实验涉及两种算法：朴素UCB算法和考虑合作伙伴的UCB算法。研究规模涉及58名参与者，每位参与者准备40个汉堡。任务内容为与机器人协作完成汉堡堆叠。
This dataset is derived from a study with human participants, in which each participant collaborated with a robotic arm to complete a burger stacking task with the objective of maximizing customer satisfaction. Participants received a compensation of $15 per hour. Two algorithms were employed in the experiment: the Naive Upper Confidence Bound (UCB) algorithm and the Partner-aware Upper Confidence Bound (UCB) algorithm. A total of 58 participants were involved in this study, with each participant preparing 40 burgers. The core task of the study was to collaborate with the robotic arm to complete the burger stacking process.
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