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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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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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生物灵感智能软机器人:从多学科整合到下一代智能

Xiaopeng Wang1, Ruilai Wei1, Zhongming Chen1

  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|June 30, 2025
PubMed
概括

软机器人整合了仿生设计,可编程材料,先进制造和智能机器人工智能. 本综述探讨了开发适应性,节能软机器人的突破和挑战,用于各种应用.

关键词:
启动的执行方式生物启发的生物启发.嵌入式智能 嵌入式智能智能机器是一种智能机器.软机器人软机器人 软机器人

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 材料科学 材料科学 材料科学
  • 生物技术是生物技术.

背景情况:

  • 软机器人提供了符合性和适应性,灵感来自生物系统.
  • 它使人与环境的安全互动和节能重新配置成为可能.
  • 生物系统为非结构化环境中的多功能性提供了蓝图.

研究的目的:

  • 通过多学科整合,全面分析智能软机器人.
  • 检查最近在生物仿真执行,可编程材料,制造和人工智能控制方面的突破.
  • 确定下一代软机器人的挑战和战略研究方向.

主要方法:

  • 系统审查软机器人的文献.
  • 分析了四个关键领域:执行,材料,制造和控制.
  • 讨论新兴应用和当前挑战.

主要成果:

  • 生物模拟执行,可编程材料,多尺度制造和人工智能驱动的控制策略的突破.
  • 确定生物医学工程,环境探索和人机界面中的关键应用.
  • 讨论包括效率,材料降解,制造限制和控制复杂性的挑战.

结论:

  • 软机器人是智能系统的转型范式.
  • 材料科学,机械工程和人工智能的协同作用对于进步至关重要.
  • 未来的软机器人将具有体现智能和适应功能,用于医疗保健,探索和人类增强.