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在平面结构环境中以狮子鱼为灵感的捕食策略
Anthony A Thompson1, Ashley N Peterson2, Matthew J McHenry2
1Department of Aerospace Engineering, University of Maryland, College Park, MD 20742, United States of America.
Bioinspiration & biomimetics
|June 20, 2023
概括
这项研究模拟了捕食者-猎物动态,展示了狮子鱼启发的追逐者如何平衡捕获效率,尽量减少猎物的逃生路线. 最佳的策略取决于距离和边界的接近.
科学领域:
- 数学生物学 数学生物学
- 游戏理论 游戏理论
- 生物灵感机器人 生物灵感机器人
背景情况:
- 捕食者与猎物的互动是复杂的,涉及追逐和逃避战术.
- 狮子鱼 (Pterois sp.) 是一种鱼类. 它们表现出独特的狩猎行为,利用它们的.
研究的目的:
- 调查一个追逐逃跑游戏,灵感来自狮子鱼的掠夺.
- 分析追捕者的捕获工作和尽量减少逃跑者的逃生路线之间的权衡.
- 确定最佳的追逐者扩张策略.
主要方法:
- 在一个有界的环境中开发了一个追逐逃跑游戏的数学模型.
- 整合了生物灵感策略,用于追逐者 (附属物扩张) 和逃避者 (随机逃跑).
- 利用预期的工作作为成本函数来捕捉,以分析最佳策略.
主要成果:
- 追求者的最佳策略是根据相对距离和边界近距离扩大附属物.
- 扩大后肢增加的阻力会影响追求者的捕捉工作.
- 边界的近距离显著影响追踪轨迹和逃避可能性.
结论:
- 最佳的追捕策略取决于环境,平衡能源支出与有效捕获猎物.
- 这项研究提供了对环境边界在捕食者-猎物动态中的作用的见解.
- 生物灵感设计可以为导航和捕获任务的机器人系统提供信息.
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