mlsanityData to 14 Oct 2026

PlanSys2: A Planning System Framework for ROS2

arXiv 2107.00376 ↗First posted 1 Jul 2021cs.RO cs.AIcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 3 of its 31 references that are in the map. First posted on arXiv 1 Jul 2021.

Builds on

3 of 31 references.

References · 3

  1. 2017Behavior Trees in Robotics and AI: An Introductioncited by 107
  2. 2020The Marathon 2: A Navigation Systemcited by 70
  3. 2021Optimized Execution of PDDL Plans using Behavior Treescited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 3; 2026: 2.

6 papers.