Two-Stage AL-iLQR-Based Trajectory Planning for Special-Shaped Curb Cleaning of Sweeper
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.
Authors
- Ke Lin (ORCID: https://orcid.org/0000-0002-3429-5877)
- Yanjie Li (ORCID: https://orcid.org/0000-0001-7890-9677)
Institutions
- Guangdong Institute of Intelligent Manufacturing (CN)
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1109/icca65672.2025.11129802
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00