论文标题
前卫！使用Erik将与任务相关的表达性编码为自主社交机器人的动画
Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots
论文作者
论文摘要
ERIK是一种表现力的逆运动学技术，在有限的用户相互作用方案中，以前曾介绍和评估过算法。它允许自主社交机器人在凝视用户时传达基于姿势的表达信息。我们已经开发了一种新的方案，旨在进一步验证以前场景中一些不受支持的主张。我们的实验具有一个完全自主的Adelino机器人，并得出结论，ERIK可以通过其非语言表达式队列在执行给定任务期间的执行过程中指导用户的操作。
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.
