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Route selection in barrier avoidance.

Brittany A Baxter1, William H Warren1

  • 1Dept. of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI 02912 USA.

Gait & Posture
|June 12, 2020
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Summary
This summary is machine-generated.

Humans choose routes around barriers based on local waypoint preferences, not overall path efficiency. Route selection prioritizes minimizing distance (d) and deviation angle (β) at waypoints.

Keywords:
Obstacle avoidanceVirtual realityVision-based navigation

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Area of Science:

  • Human locomotion
  • Robotics
  • Cognitive psychology

Background:

  • Human navigation models, like steering dynamics, use waypoints to predict paths around obstacles.
  • Waypoint selection may involve competing goals, favoring smaller distances and deviation angles.

Purpose of the Study:

  • To investigate how local distance (d) and deviation angle (β) at barrier ends influence route selection.
  • To compare the influence of local waypoint variables against global path length (P) and curvature (C).

Main Methods:

  • Participants navigated a virtual barrier, with manipulated differences in distance (Δd) and deviation angle (Δβ) between route options.
  • Mixed-effects logistic regression analyzed route choices based on Δβ, Δd, and observed path differences (ΔP, ΔC).

Main Results:

  • Both Δβ and Δd significantly predicted route choices, outperforming ΔP and ΔC.
  • When local variables conflicted, participants chose routes favoring smaller deviation angles (β).
  • Established thresholds for Δβ (±1.65°) and Δd (0.75 m) influenced route selection.

Conclusions:

  • Route selection during barrier avoidance prioritizes minimizing local waypoint distance and deviation.
  • Findings support a waypoint-based decision process over global path planning.
  • This suggests navigation decisions are driven by local cues rather than overall path optimization.