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相关概念视频

Mechanical Systems01:22

Mechanical Systems

562
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...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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相关实验视频

Updated: Jan 13, 2026

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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用模块化的可折叠机器人进行基于表面的操纵.

Ziqiao Wang1, Serhat Demirtas1, Fabio Zuliani1

  • 1Reconfigurable Robotics Lab (RRL), EPFL, Lausanne, Switzerland.

npj Robotics
|January 12, 2026
PubMed
概括
此摘要是机器生成的。

这项研究引入了基于表面的机器人操纵,使用平面而不是抓手. 这种新的方法使机器人能够处理各种各样的物体,包括脆弱或可变形的物体,克服传统抓取方法的局限性.

关键词:
机械工程 机械工程 机械工程软材料 软材料 软材料

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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:

  • 机器人操纵是现实世界互动的关键.
  • 传统的抓取与各种物体属性 (脆弱,可变形,不规则,滑动) 进行斗争.
  • 当前的方法往往由于难以确定稳定的力或几何约束而失败.

研究的目的:

  • 为机器人提出新的基于表面的操纵策略.
  • 为了克服传统抓取技术的局限性.
  • 为了使机器人能够有效地操纵更广泛的物体.

主要方法:

  • 利用平面作为极简的终端效应器.
  • 采用闭环控制策略来调整表面的位置和方向.
  • 实现基于表面的操纵来翻译,旋转和翻转物体.

主要成果:

  • 证明了对物体的成功操纵,而没有稳定的抓取.
  • 展示了对各种形状,大小和刚度等级的物体的适应性.
  • 启用了对可变形物体的操作,包括改变它们的形状.

结论:

  • 基于表面的操纵为机器人物体处理提供了一个新的范式.
  • 这种方法克服了传统抓取方法所面临的挑战.
  • 为机器人学中复杂的操纵任务提供了多功能解决方案.