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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Distribution Reliability and Automation01:25

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Machines: Problem Solving II01:30

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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相关实验视频

Updated: Sep 11, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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针对容错机器人的自动机器人设计.

Kenta Kikuzumi1, Ryo Ariizumi2, Fumitoshi Matsuno3

  • 1Department of Mechanical Engineering, The University of Tokyo, Tokyo, 153-8505, Japan.

Scientific reports
|August 13, 2025
PubMed
概括

这项研究介绍了一种自动机器人设计方法,可以提高腿类机器人的故障耐受性. 该方法训练机器人,尽管关节故障,但在没有控制器更改的情况下行走,在不可预测的环境中提高性能.

关键词:
自动机器人设计自动机器人设计耐故障的机器人可以容忍故障.强化学习是一种强化学习.

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Last Updated: Sep 11, 2025

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 机械工程 机械工程

背景情况:

  • 有腿的机器人需要对外星球等极端环境的关节故障耐受性.
  • 实现故障容忍通常需要复杂的设计或快速故障检测和重新配置.

研究的目的:

  • 提出一种有效的方法来设计具有固有的关节故障容忍度的腿类机器人.
  • 通过结合不同的拓更新方法来提高自动机器人设计的学习效率.

主要方法:

  • 利用了以机器人拓更新为中心的自动机器人设计方法.
  • 结合了两个不同的机器人拓更新方法,以提高学习效率.
  • 在物理环境中模拟关节故障,以测试机器人的性能.

主要成果:

  • 拟议的方法成功训练机器人,尽管关节故障,仍然保持机动.
  • 机器人表现出高效的行走能力,即使有关节功能故障.
  • 训练有素的机器人在未经验的情况下表现良好,这表明它们具有强大的适应能力.

结论:

  • 开发的自动机器人设计方法有效地创造了耐受关节故障的腿类机器人.
  • 这种方法为在不可预测和极端条件下强大的机器人操作提供了有希望的解决方案.
  • 综合拓更新策略提高了对故障耐受机器人设计的学习效率.