SODA-RRT: Safe Optimal Dynamics-Aware Motion Planning

被引:0
|
作者
Niknejad, Nariman [1 ]
Esmzad, Ramin [1 ]
Modares, Hamidreza [1 ]
机构
[1] Michigan State Univ, Dept Mech Engn, E Lansing, MI 48824 USA
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 28期
基金
美国国家科学基金会;
关键词
Motion planning; Invariant sets; Linear matrix inequalities (LMIs); Collision avoidance; Optimal Control; Safe Control;
D O I
10.1016/j.ifacol.2025.01.104
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a performance-aware motion planning approach that generates collision-free paths with guaranteed optimality using invariant sets. The proposed planner constructs a sequence of conflict-free invariant sets, within which closed-loop trajectories maintain safety and performance criteria. Randomly generated waypoints serve as the center for these invariant sets, which are then connected to form a path from the initial to the target point. For each waypoint, an optimization problem determines the largest conflict-free zone and a safe-optimal controller. The novel algorithm termed Safe Optimal Dynamics-Aware Motion Planning (SODA-RRT), incorporates performance-reachability between connected waypoints, thus reducing the need for frequent re-planning. The method's efficacy is demonstrated through spacecraft motion planning scenarios involving debris avoidance, showcasing its potential for real-world applications. Copyright (c) 2024 The Authors.
引用
收藏
页码:863 / 868
页数:6
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