Reproduce “Regulated Pure Pursuit for Robot Path Tracking” on OpenResearch
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About this paper
Steve Macenski, Shrijit Singh, Francisco Martin, Jonatan Gines
Regulated Pure Pursuit (RPP) enhances the Pure Pursuit path tracking algorithm for mobile robots by integrating intelligent linear velocity regulation based on path curvature and proximity to obstacles. RPP demonstrated improved path tracking accuracy and increased average stopped distance in blind turn scenarios without significantly affecting overall navigation time in real-world deployments.
Key insights
- Intelligent velocity regulation, informed by path curvature and obstacle proximity, significantly enhances the functional safety of Pure Pursuit, especially in partially observable and constrained environments.
- The adaptive slowing in high-curvature sections and near obstacles leads to an emergent improvement in path tracking accuracy by allowing the robot to adhere more closely to the planned trajectory.
- The safety benefits provided by RPP's localized velocity regulation do not detrimentally impact overall mission efficiency, suggesting it offers safety enhancements without sacrificing task completion time over longer routes.
Summary by alphaXiv.
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