Da-hui Lin-Yang, Francisco Pastor, Alfonso J. García-Cerezo
{"title":"Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time-Optimal-Based Approach","authors":"Da-hui Lin-Yang, Francisco Pastor, Alfonso J. García-Cerezo","doi":"10.1002/aisy.202570002","DOIUrl":null,"url":null,"abstract":"<p><b>Multiple Waypoints Trajectory Planning</b>\n </p><p>In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570002","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aisy.202570002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Multiple Waypoints Trajectory Planning
In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.