分析农业机器人能耗，发现速度与任务类型影响能效
Toward a Better Understanding of Robot Energy Consumption in Agroecological Applications
- 通过全年数据追踪自动拖拉机能耗，研究速度与任务对能耗的影响
- 揭示速度、任务类型与能耗间存在非线性关系，存在能效权衡
- 为优化农业机器人能源效率提供实证依据，适合农机自动化研究者
本文对农业机器人能耗进行了全面分析与讨论。随着机器人在农业中的应用日益广泛，其在减少化学品使用、执行人力难以完成的任务方面展现出巨大潜力。自动化使机器人能够优化路径、控制策略和整体任务规划，从而实现更高水平的能源优化。然而，当前对机器人平台能耗的理解仍不充分，深入分析其影响因素对优化能源利用至关重要。我们分析了一台自动化农业拖拉机全年执行任务时的能耗数据，发现机器人速度、任务类型与能耗之间存在显著关联，表明任务效率、完成时间与能耗之间存在权衡关系，这一发现可被用于提升农业机器人作业的能源效率。
原文摘要 · Abstract (English)
In this paper, we present a comprehensive analysis and discussion of energy consumption in agricultural robots. Robots are emerging as a promising solution to address food production and agroecological challenges, offering potential reductions in chemical use and the ability to perform strenuous tasks beyond human capabilities. The automation of agricultural tasks introduces a previously unattainable level of complexity, enabling robots to optimize trajectories, control laws, and overall task planning. Consequently, automation can lead to higher levels of energy optimization in agricultural tasks. However, the energy consumption of robotic platforms is not fully understood, and a deeper analysis of contributing factors is essential to optimize energy use. We analyze the energy data of an automated agricultural tractor performing tasks throughout the year, revealing nontrivial correlations between the robot's velocity, the type of task performed, and energy consumption. This suggests a tradeoff between task efficiency, time to completion, and energy expenditure that can be harnessed to improve the energy efficiency of robotic agricultural operations.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。