Literature DB >> 33135131

Control of visually guided braking using constant-[Formula: see text] and proportional rate.

Didem Kadihasanoglu1,2, Randall D Beer3, Ned Bingham4,5, Geoffrey P Bingham3,6.   

Abstract

This study investigated the optical information and control strategies used in visually guided braking. In such tasks, drivers exhibit two different braking behaviors: impulsive braking and continuously regulated braking. We designed two experiments involving a simulated braking task to investigate these two behaviors. Participants viewed computer displays simulating an approach along a linear path over a textured ground surface toward a set of road signs. The task was to use a joystick as a brake to stop as close as possible to the road signs. Our results showed that participants relied on a weak constant-[Formula: see text] strategy (Bingham 1995) when regulating the brake impulsively. They used discrete [Formula: see text] values as critical values and they regulated the brake so as not to let [Formula: see text] fall below these values. Our results also showed that proportional rate control (Anderson and Bingham 2010, 2011) is used in continuously regulated braking. Participants initiated braking at a certain proportional rate value and controlled braking so as to maintain that value constant during the approach. Proportional rate control is robust because the value can fluctuate within a range to yield good performance. We argue that proportional rate control unifies the information-based approach and affordance-based approach to visually guided braking.

Entities:  

Keywords:  Affordance-based control; Constant tau strategy; Constant tau-dot strategy; Information-based control; Proportional rate control; Visually guided braking

Mesh:

Year:  2020        PMID: 33135131     DOI: 10.1007/s00221-020-05956-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  1 in total

1.  Information and control strategy to solve the degrees-of-freedom problem for nested locomotion-to-reach.

Authors:  Aaron J Fath; Brian S Marks; Winona Snapp-Childs; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2014-08-22       Impact factor: 1.972

  1 in total

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