前卫！使用ERIK将任务相关的表现力编码到自主社交机器人的动画中
Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots
摘要：
ERIK是一种表达逆运动学技术，以前已经提出和评估算法和有限的用户交互场景。它允许自主社交机器人在跟踪用户的同时传达基于姿势的表达信息。我们开发了一个新的场景，旨在进一步验证前一个场景中一些不支持的说法。我们的实验具有完全自主的Adelino机器人，并得出结论，ERIK可以用来指导用户的选择在执行给定的任务的行动，完全通过其非语言表达队列。
英文摘要：
ERIK is an expressive inverse kinematics technique that has been previously presented and evaluated both algorithmically and in a limited user-interaction scenario. It allows autonomous social robots to convey posture-based expressive information while gaze-tracking users. We have developed a new scenario aimed at further validating some of the unsupported claims from the previous scenario. Our experiment features a fully autonomous Adelino robot, and concludes that ERIK can be used to direct a user's choice of actions during execution of a given task, fully through its non-verbal expressive queues.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
