首页> 外文会议>International Symposium on New Frontiers in Human-Robot Interaction >Pervasive Memory: the Future of Long-Term Social HRI Lies in the Past
【24h】

Pervasive Memory: the Future of Long-Term Social HRI Lies in the Past

机译:普遍存器:过去的长期社会HRI的未来在于过去

获取原文

摘要

The technologies underlying long-term social Human-Robot Interaction (sHRI) continually advance, with impressive results. However, applications typically remain on relatively short time-scales, or if long-term, are more focussed on the human perspective than that of the robot. What are still missing are the broader theories of temporal organisation of robot social behaviour for long-term interaction, and more particularly, how experience informs the adaptivity of behaviour. Based on this necessity, we propose in this position paper that memory should play a more central role in accounts of sHRI. Specifically, we introduce the concept of "Pervasive Memory", i.e. a broader notion of memory than is typically used: memory as underlying and involved in all aspects of social behaviour, beyond the mere passive storage of (symbolic) semantic information. The working hypothesis is that by committing to such a perspective, an integrated and coherent approach to long-term sHRI can be formulated. A number of examples are described in this position paper, including studies currently under way, to support this approach. We suggest that, in this sense, the future development of social robotics really does lie in the past.
机译:长期社会人体机器人互动(SHRI)潜在的技术不断推进,结果令人印象深刻。然而,应用程序通常保持在相对短的时间尺度上,或者如果长期,则从人类的角度侧重于比机器人的时间。仍然缺少的是长期互动的机器人社会行为的更广泛的临时组织理论,更具体地,经验如何通知行为的适应性。基于这一必要性,我们提出了在这个位置文件中,内存应该在Shri叙述中发挥更大的作用。具体而言,我们介绍了“普遍存器”的概念,即,更广泛的记忆概念而不是通常使用的内存:作为基础的内存和社会行为的所有方面,超出仅仅是(符号)语义信息的无源存储。工作假设是,通过犯下这种观点,可以制定长期shi的集成和相干方法。在该位置纸中描述了许多示例,包括目前正在进行的研究,以支持这种方法。我们建议,从这个意义上讲,社会机器人的未来发展确实在过去谎言。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号