PlanSys2: A Planning System Framework for ROS2
Francisco Martín, Jonatan Ginés, Vicente Matellán, Francisco J. Rodríguez
- 发表年份
- 2021
- 访问权限
- 开放获取
摘要
Autonomous robots need to plan the tasks they carry out to fulfill their missions. The missions' increasing complexity does not let human designers anticipate all the possible situations, so traditional control systems based on state machines are not enough. This paper contains a description of the ROS2 Planning System (PlanSys2 in short), a framework for symbolic planning that incorporates novel approaches for execution on robots working in demanding environments. PlanSys2 aims to be the reference task planning framework in ROS2, the latest version of the {\em de facto} standard in robotics software development. Among its main features, it can be highlighted the optimized execution, based on Behavior Trees, of plans through a new actions auction protocol and its multi-robot planning capabilities. It already has a small but growing community of users and developers, and this document is a summary of the design and capabilities of this project.
关键词
相关论文
基于嵌入式语言模型的多机器人系统动态重构
Shokhikha Amalana Murdivien, Jongsu Park, Jumyung Um
Robotics and Computer-Integrated Manufacturing · 2026
基于大语言模型增强的多智能体强化学习的无人机博弈分层决策
Xinyu Dong, Bo Li, Guangyu Zhang 等 5 位作者
Aerospace Science and Technology · 2026
水下残骸区域多UUV协同覆盖搜索的编队优化与避碰决策方法
Haomiao Yu, Zeyuan Zhang, Yantian Ma
Robotics and Autonomous Systems · 2026
人在回路中的群体机器人:一种用于真实土壤测绘的仿生群体方法
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu 等 6 位作者
2026