在非结构化的环境中控制蛇机器人的脱贝叶斯方法
1Ritsumeikan University, Kyoto, Japan.
Bioinspiration & biomimetics
|October 24, 2023
概括
这项研究引入了一种新的贝叶斯方法,用于在杂乱的空间中控制蛇机器人,简化复杂的模型. 该方法通过将机器人动态与环境相互作用脱而出,提高导航和避免碰撞来提高稳健性.
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
- 控制系统 控制系统
背景情况:
- 蛇机器人在狭窄和混乱的环境中提供独特的优势.
- 传统的控制方法通常依赖于复杂的合模型和动力学分析,限制了动态设置中的效率和稳定性.
- 处理意外碰撞和环境相互作用仍然是蛇机器人控制的一个重大挑战.
研究的目的:
- 为在杂乱的环境中运行的蛇机器人开发一种简化但有效的控制策略.
- 引入一个解的动态贝叶斯式公式,减少计算复杂性.
- 为了应对环境相互作用期间数据关联和形状调整的挑战.
主要方法:
- 提出了一个完全脱的动态贝叶斯式公式,将蛇机器人链接和环境对象分开.
- 一个蛇形控制器用于非交互式运动,而交互触发扩展的贝叶斯框架.
- 一个"多神经刺激功能"模型累积的环境和内部影响,解决意想不到的碰撞.
主要成果:
- 与合模型相比,拟议的方法显著降低了复杂性.
- 该配方有效地处理环境相互作用和意外碰撞.
- 初步实验显示出有希望的性能,超过现有的最先进的方法.
结论:
- 解的动态贝叶斯方法为在混乱的环境中控制蛇机器人提供了高效和强大的解决方案.
- "多神经刺激功能"创新地解决了数据关联和形状调整问题.
- 这种方法为更具适应性和能力的蛇机器人应用铺平了道路.
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