Gillesen J C C, Barakova E I, Huskens B E B M, Feijs L M G
Department of Industrial Design, Eindhoven University of Technolgy, Eindhoven, The Netherlands.
IEEE Int Conf Rehabil Robot. 2011;2011:5975381. doi: 10.1109/ICORR.2011.5975381.
Successful results have been booked with using robotics in therapy interventions for autism spectrum disorders (ASD). However, to make the best use of robots, the behavior of the robot needs to be tailored to the learning objectives and personal characteristics of each unique individual with ASD. Currently training practices include adaptation of the training programs to the condition of each individual client, based on the particular learning goals or the mood of the client. To include robots in such training will imply that the trainers are enabled to control a robot through an intuitive interface. For this purpose we use a visual programming environment called TiViPE as an interface between robot and trainer, where scenarios for specific learning objectives can easily be put together as if they were graphical LEGO-like building blocks. This programming platform is linked to the NAO robot from Aldebaran Robotics. A process flow for converting trainers' scenarios was developed to make sure the gist of the original scenarios was kept intact. We give an example of how a scenario is processed, and implemented into the clinical setting, and how detailed parts of a scenario can be developed.
在自闭症谱系障碍（ASD）的治疗干预中使用机器人技术已取得了成功的成果。然而，为了充分利用机器人，机器人的行为需要根据每个患有ASD的独特个体的学习目标和个人特征进行调整。目前的训练方法包括根据每个客户的特定学习目标或情绪，使训练计划适应每个客户的情况。要将机器人纳入此类训练，意味着训练师能够通过直观的界面控制机器人。为此，我们使用一个名为TiViPE的可视化编程环境作为机器人与训练师之间的接口，在这个环境中，特定学习目标的场景可以像图形化的乐高积木一样轻松组合在一起。这个编程平台与Aldebaran Robotics公司的NAO机器人相连。开发了一个转换训练师场景的流程，以确保原始场景的要点保持完整。我们给出一个示例，说明一个场景是如何被处理并应用于临床环境的，以及一个场景的详细部分是如何开发的。
