• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>The Fourth joint IEEE international conferences on development and learning and epigenetic robotics >Developmental changes in children understanding robotic actions: The case of lifting
【24h】

Developmental changes in children understanding robotic actions: The case of lifting

机译：儿童理解机器人动作的发育变化：举重情况

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Humans develop already from the first years of life the ability to understand the actions and intentions of others and naturally use this skill to help others [1]. It would be important for the future of human-robot collaboration if children could easily generalize this understanding to robotic agents. In this paper we have investigated whether this is possible, at least in the context of inferring object weight from the observation of a humanoid action. Our results show that children of different ages need a different degree of human-likeness in robot motion to be able to infer which weight is being lifted. Indeed, from 10 years of age on, even non-humanlike trajectories can communicate the lifted load, if the lifting speed is appropriately varied as a function of weight. Conversely, younger children are significantly better at judging weight only in presence of a human-like trajectory. Hence, robots should adapt even the basic properties of their motion to their users, taking into account that children perception progressively changes with age.
机译：人类从生命的最初几年就已经具备了理解他人的行为和意图并自然地使用该技能来帮助他人的能力[1]。如果孩子们可以轻松地将这种理解概括为机器人代理，那么对于人机协作的未来将至关重要。在本文中，我们研究了这是否可行，至少在从人形动作观察来推断物体重量的情况下。我们的结果表明，不同年龄的孩子在机器人运动中需要不同程度的人像，才能推断出正在举起的体重。实际上，从10岁开始，如果提升速度根据重量变化，则即使是非人形的轨迹也可以传达提升的载荷。相反，年幼的孩子只有在像人的轨迹时才能更好地判断体重。因此，考虑到儿童的感知力会随着年龄的增长而逐渐变化，机器人甚至应该使其运动的基本特性适应其使用者。

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