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MPC-Based Collision-Free Trajectory Planning for Multi-UGV Formation with Yaw Constraints

  • Denglin Tang
  • , Haopeng Wang
  • , Yongfang Liu
  • , Yu Zhao
  • Northwestern Polytechnical University Xian

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

Abstract

This paper presents a model predictive control (MPC)-based trajectory planning method for multi-unmanned ground vehicle (UGV) formation, targeting collision-free navigation in a cluttered environment while satisfying the terminal yaw angle constraint. The proposed approach integrates Buffered Voronoi Cell (BVC) to ensure internal collision avoidance and constructs a feasible region to avoid external obstacles. A yaw error term is incorporated into the formation optimization to achieve precise orientation control, and the formation shape is adaptively optimized to accommodate narrow passages. Furthermore, an adaptive guidance point selection strategy is designed to balance path feasibility and formation stability. Simulation results demonstrate the effectiveness of the proposed method in complex environments, showing accurate terminal yaw control and superior performance in terms of calculation cost and planning efficiency.

Original languageEnglish
Title of host publicationProceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Control Technologies
EditorsQing Wang, Xiwang Dong, Peng Song
PublisherSpringer Science and Business Media Deutschland GmbH
Pages332-345
Number of pages14
ISBN (Print)9789819584345
DOIs
StatePublished - 2026
Event9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 - Shanghai, China
Duration: 31 Oct 20253 Nov 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1604 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025
Country/TerritoryChina
CityShanghai
Period31/10/253/11/25

Keywords

  • Model predictive control
  • collision-free motion
  • formation optimization
  • trajectory planning
  • yaw angle constraint

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