哈文:通过改变形状的移动机器人进行触觉和视觉环境导航,具有多模式感知
Barry W Mulvey1, Thrishantha Nanayakkara2
1Dyson School of Design Engineering, Imperial College London, London, SW7 2DB, UK. b.mulvey21@imperial.ac.uk.
Scientific reports
|November 6, 2024
概括
本研究介绍了可变形机器人的触觉和视觉环境导航 (HAVEN) 架构. 该系统通过使用视觉和触觉来预测,反应和操纵障碍物,提高了混乱空间中的敏捷性.
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
- 生物模拟技术是生物模拟的
背景情况:
- 动物在复杂的环境中使用身体调以提高灵活性来导航.
- 目前的移动机器人是刚性的,主要是避开障碍物.
- 可变形机器人可以在受阻的地形上提高移动性.
研究的目的:
- 为可变形移动机器人开发一种新的框架,以改善在受阻环境中的导航.
- 整合视觉和自身感知反,以提高机器人的敏捷性.
- 为了实现自主预测,反应和积极的障碍物操纵.
主要方法:
- 触觉和视觉环境导航 (HAVEN) 架构的介绍.
- 预测性 (视觉分析),反应性 (自身感知反) 和主动性 (障碍物操纵) 行为的算法.
- 使用可变形机器人进行实验测试,以导航不同大小的光圈和各种障碍物.
主要成果:
- 哈文架构使得可变形机器人能够有效地在受阻的环境中导航.
- 机器人展示了更高的导航成功率.
- 通过积极操纵障碍物,平均减少了32%的导航时间.
结论:
- 将视觉和自身感知与可变形的身体相结合,可以在混乱的空间中显著提高机器人的敏捷性.
- 哈文架构为自主导航和障碍物操纵提供了一个强大的框架.
- 这项研究为在复杂的现实场景中更具适应性和效率的移动机器人铺平了道路.
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