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对当前-未来控制和基于可供性的控制在奔跑接住高飞球方面的统一阐述。

A unified account of current-future control and affordance-based control for running to catch fly balls.

作者信息

Postma Dees B W, Zaal Frank T J M

机构信息

Human Media Interaction, University of Twente, Enschede, The Netherlands.

Human Movement Science, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

出版信息

J Vis. 2025 Sep 2;25(11):9. doi: 10.1167/jov.25.11.9.

Abstract

Current-future control and affordance-based control offer two distinct approaches to understanding the visual guidance of action. Current-future control strategies, such as the optical acceleration cancellation strategy, are essentially error-nulling strategies. That is, the visual guidance of action is predicated on nulling the error around the critical value of some optical invariant. Whether error nulling is (still) possible, given the action capabilities of the agent, is not specified in current-future control strategies. There is no specification of affordances. Affordance-based control resolves this issue by incorporating action capabilities into the control of action. Although promising, affordance-based control strategies have been criticized for their lack of specific predictions for the control of movement. Affordance-based control strategies are under-constrained in the sense that there is no specific control law that guides action within the space of possibilities. In this contribution, we resolve this issue by showing that current-future control and affordance-based control need not be fundamentally different and that their guiding principles can in fact be reconciled. We propose a new control strategy within the fly-ball paradigm and show its effectiveness through simulations. We show that our model makes clear predictions about the control of interceptive behavior while also informing the fielder about the catchability of fly balls.

摘要

当前-未来控制和基于可供性的控制为理解动作的视觉引导提供了两种不同的方法。当前-未来控制策略,如光学加速度消除策略,本质上是误差归零策略。也就是说,动作的视觉引导基于使围绕某些光学不变量临界值的误差归零。考虑到智能体的动作能力,当前-未来控制策略并未明确说明误差归零是否(仍然)可行。其中没有可供性的具体说明。基于可供性的控制通过将动作能力纳入动作控制来解决这个问题。尽管很有前景,但基于可供性的控制策略因缺乏对运动控制的具体预测而受到批评。基于可供性的控制策略在某种意义上约束不足,即没有特定的控制法则在可能性空间内指导动作。在本论文中,我们通过表明当前-未来控制和基于可供性的控制不一定存在根本差异且它们的指导原则实际上可以相互协调来解决这个问题。我们在飞球范式内提出一种新的控制策略,并通过模拟展示其有效性。我们表明我们的模型对拦截行为的控制做出了清晰的预测,同时也让外野手了解飞球的可接住性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4260/12448125/8fd95130d8e0/jovi-25-11-9-f001.jpg

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