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相关概念视频

Machines01:19

Machines

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
Mechanical Systems01:22

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically described...

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相关实验视频

Updated: Jul 8, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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在多天内跟踪人类与商用机器人的互动.

Ruud Hortensius1,2, Bishakha Chaudhury1, Martin Hoffmann3

  • 1Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.

Open research Europe
|August 30, 2023
PubMed
概括

本研究介绍了Cozmo机器人作为一种低成本的平台,用于在现实环境中研究人机交互. 它使不同的人群和环境中社会认知过程的长期研究成为可能.

关键词:
嵌入式互动 嵌入式互动人与机器人的交互机器人平台是一个机器人平台.社会认知 (social cognition) 是一种社会认知.社会机器人社会机器人

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人与计算机的交互
  • 认知科学 认知科学

背景情况:

  • 人机交互 (HRI) 的研究正在从实验室环境转向现实世界环境.
  • 需要一个强大的,负担得起的,用户友好的机器人平台,用于在现场收集HRI数据.
  • 现有的平台可能不适合各种人群 (儿童,临床组) 或各种环境 (家庭,学校).

研究的目的:

  • 展示Cozmo机器人作为一个可行的平台,在各种现实环境中体现HRI研究.
  • 详细说明使用Cozmo进行纵向HRI研究的方法.
  • 展示从Cozmo平台提取和分析交互数据的方法.

主要方法:

  • 用一个商用,现成的机器人 (Cozmo) 来收集HRI数据.
  • 描述了Cozmo在各种环境中的技术规格和设置.
  • 开发了收集和提取人机交互的详细日志文件的方法.
  • 介绍了Cozmo行为数据的交互式情绪分类工具.

主要成果:

  • 验证了Cozmo机器人的行为表现.
  • 演示了包含丰富的人机交互数据的日志文件的提取.
  • 展示了Cozmo数据和情绪分类工具如何为了解长期交互的心理后果提供信息.

结论:

  • 科斯莫平台为研究HRI提供了一个低成本,灵活的解决方案.
  • 它扩大了用户驱动,不受约束的HRI研究的可能性,超出了实验室的界限.
  • 促进在自然主义的人机交互中研究社会认知过程.