机器人路径规划的多策略方法

Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96) Pub Date : 1996-10-09 DOI:10.1109/EURBOT.1996.551889

G. Bianco, R. Cassinis

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引用次数: 5

摘要

本文提出了一种自主机器人路径规划系统，该系统在先验未知环境中使用多种策略到达目标。该方法具有学习能力，使机器人能够利用先前的经验，从而提高其在同一环境中连续行进的性能。所提出的多策略方法已在软件模拟器和真实机器人上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-strategic approach for robot path planning

The paper presents a proposal for an autonomous robot path planning system that uses several strategies to reach a target also in an a-priori unknown environment. The proposed method has learning capabilities that allow the robot to take advantage of previous experience, thus improving its performance during successive traveling in the same environment. The proposed multistrategic approach has been tested both on a software simulator and on a real robot.

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来源期刊

Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96)

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