From the Desks of ROS Maintainers: A Survey of Modern & Capable Mobile Robotics Algorithms in the Robot Operating System 2
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Abstract (arXiv)
The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent machines sector -- on space missions, large agriculture equipment, multi-robot fleets, and more. Its success derives from its focused design and improved capabilities targeting product-grade and modern robotic systems. Following ROS 2's example, the mobile robotics ecosystem has been fully redesigned based on the transformed needs of modern robots and is experiencing active development not seen since its inception. This paper comes from the desks of the key ROS Navigation maintainers to review and analyze the state of the art of robotics navigation in ROS 2. This includes new systems without parallel in ROS 1 or other similar mobile robotics frameworks. We discuss current research products and historically robust methods that provide differing behaviors and support for most every robot type. This survey consists of overviews, comparisons, and expert insights organized by the fundamental problems in the field. Some of these implementations have yet to be described in literature and many have not been benchmarked relative to others. We end by providing a glimpse into the future of the ROS 2 mobile robotics ecosystem.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jul 2023.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 5.
10 papers.
- 2024InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environmentcited by 150
- 2024PACER: Preference-conditioned All-terrain Costmap Generationcited by 4
- 2025ADAPT: An Autonomous Forklift for Construction Site Operationcited by 3
- 2026RoboAtlas: Contextual Active SLAMcited by 1
- 2026Image2Sim: Scaling Embodied Navigation via Generative Neural Simulatorcited by 1
- 2023Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race Carcited by 0
- 2025RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehiclescited by 0
- 2026Federated Single-Agent Robotics: Multi-Robot Coordination Without Intra-Robot Multi-Agent Fragmentationcited by 0
- 2026SPADE: Sketch-guided Path Planning Augmented with Diffusion Expertscited by 0
- 2026FLINT: Fast Lightweight Inference for Traversabilitycited by 0
- 2026FLINT: Fast Lightweight Inference for Traversability22 Sep 2026
- 2026Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator7 Jul 2026
- 2026RoboAtlas: Contextual Active SLAM24 Jun 2026
- 2026SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts2 Jun 2026
- 2026Federated Single-Agent Robotics: Multi-Robot Coordination Without Intra-Robot Multi-Agent Fragmentation13 Apr 2026
- 2025RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles1 Jul 2025
- 2025ADAPT: An Autonomous Forklift for Construction Site Operation18 Mar 2025
- 2024PACER: Preference-conditioned All-terrain Costmap Generation30 Oct 2024
- 2024InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment7 Jun 2024
- 2023Racing With ROS 2 A Navigation System for an Autonomous Formula Student Race Car24 Nov 2023