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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
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.
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.
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