通过对UVMS的实验,最大限度地提高移动操纵器的钥能力
Wilhelm J Marais1, Oscar Pizarro2, Stefan B Williams1
1Australian Centre For Robotics (ACFR), University of Sydney, Sydney, NSW, Australia.
Frontiers in robotics and AI
|February 14, 2025
概括
这项研究通过优化配置和力量来增强水下车辆操纵系统 (UVMS),以最大限度地提高钥匙的能力. 实验结果显示,在举重和门转动等任务中,与现有方法相比,实验方法有了显著的改进.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 海洋工程 海洋工程
背景情况:
- 水下车辆操纵系统 (UVMS) 需要增强的力和扭矩能力来完成复杂的任务.
- 优化操纵器配置和执行器力量对于在非结构化的水下环境中最大限度地提高操作效率至关重要.
研究的目的:
- 为UVMS开发和介绍寻找最佳配置和执行器力/扭矩的方法,以最大限度地使触控钥匙在所需的方向上.
- 为了应对最大限度地提高钥匙能力的挑战,同时跟踪轨迹和执行动态运动.
主要方法:
- 作为双级优化问题的关最大化问题的表述.
- 使用一个低维的参数化冗余空间用于上层变量和一个线性下层问题.
- 考虑使用单个或多个操纵器和接触力的场景.
主要成果:
- 与移动操纵器的现有方法相比,钥匙能力显著增加.
- 通过在6-DOF水下机器人平台上进行广泛的实验结果验证了这些方法,并使用了4-DOF操纵器.
- 在特定应用中展示了有效性,例如最大限度地提高重载提升力和门转动操作的扭矩.
结论:
- 拟议的双层优化框架有效地最大化了UVMS的接触.
- 这些方法在力和扭矩能力方面提供了实质性的改进,提高了水下机器人操作的性能.
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