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Active visual SLAM using potential fields and model predictive control

delete2026-03-12
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OA
AI
A
Alice Hierholz
V
Vincent Reß
N
Nils Hentschel
A
Andreas Gienger
N
Norbert Haala
O
Oliver Sawodny
DOI：10.1016/j.conengprac.2026.106897delete
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摘要

摘要

En 中文
• 集成主动视觉SLAM，结合势场法和MPC。 • 在线MPC实现无碰撞、约束合规且效用优化的运动。 • 针对非完整约束机器人的真实世界实验。 • 成功实现未知环境的自主探索。 • 对动态环境的反应性适应。
Keyword:
Construction robotics
Autonomous mobile robots
Trajectory and path planning
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Control Engineering Practice 封面图
Control Engineering Practice
IF:
4.6
论文数:
5.7K
被引数:
1.1W

机构

U
university of stuttgart
学者数:
1.6K
论文数: 714
被引数: 0
引用论文

引用论文

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