地形
常量(计算机编程)
能源消耗
动量(技术分析)
平面图(考古学)
计算机科学
步态
最佳步行速度
控制(管理)
模拟
能量(信号处理)
最优控制
控制理论(社会学)
物理医学与康复
人工智能
数学优化
数学
经济
地理
统计
医学
地图学
考古
财务
内分泌学
程序设计语言
作者
Osman Darici,Arthur D. Kuo
出处
期刊:Cornell University - arXiv
日期:2022-07-16
被引量:1
标识
DOI:10.48550/arxiv.2207.11224
摘要
Humans experience small fluctuations in their gait when walking on uneven terrain. The fluctuations deviate from the steady, energy-minimizing pattern for level walking, and have no obvious organization. But humans often look ahead when they walk, and could potentially plan anticipatory fluctuations for the terrain. Such planning is only sensible if it serves some an objective purpose, such as maintaining constant speed or reducing energy expenditure, that is also attainable within finite planning capacity. Here we show that humans do plan and perform optimal control strategies on uneven terrain. Rather than maintain constant speed, they make purposeful, anticipatory speed adjustments that are consistent with minimizing energy expenditure. A simple optimal control model predicts economical speed fluctuations that agree well with experiments with humans (N = 12) walking on seven different terrain profiles (correlated with model ro=0.55+-0.11, P<0.05 all terrains). Participants made repeatable speed fluctuations starting about six to eight steps ahead of each terrain feature (up to +-7.5 cm height difference each step, up to 16 consecutive features). Nearer features matter more, because energy is dissipated with each succeeding step collision with ground, preventing momentum from persisting indefinitely. A finite horizon of continuous look ahead and motor working space thus suffice to practically optimize for any length of terrain. Humans reason about walking in the near future to plan complex optimal control sequences.
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