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Two-Stage AL-iLQR-Based Trajectory Planning for Special-Shaped Curb Cleaning of Sweeper

  • Ke Lin
  • , Yanjie Li*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study addresses the challenge of generating a contiguous sweeping line along an irregular curb edge. The primary method involves utilizing the curb edge line and applying a translation process to it. Subsequently, a higher-order filter is employed to smooth the resulting curve. The curve is then segmented based on curvature, with spiral and Reeds-Shepp curves used to connect the segmented parts. Finally, the entire trajectory is smoothed using the Augmented Lagrangian-iLQR (AL-iLQR) algorithm, yielding the final curve for the sweeping line. This approach ensures a precise and optimized path for cleaning along the irregular curb edge.

Original languageEnglish
Title of host publication2025 IEEE 19th International Conference on Control and Automation, ICCA 2025
PublisherIEEE Computer Society
Pages280-285
Number of pages6
ISBN (Electronic)9798331595593
DOIs
StatePublished - 2025
Externally publishedYes
Event19th IEEE International Conference on Control and Automation, ICCA 2025 - Tallinn, Estonia
Duration: 30 Jun 20253 Jul 2025

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference19th IEEE International Conference on Control and Automation, ICCA 2025
Country/TerritoryEstonia
CityTallinn
Period30/06/253/07/25

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