ros2probe reconstructs full ROS 2 communication state from discovery packets and applies in-kernel topic filters to deliver non-intrusive observability that matches standard tools while eliminating probe-effect overhead.
Optimizing ROS 2 communi- cation for wireless robotic systems,
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
This survey introduces a three-dimensional conceptual framework (Space, Time, State) to analyze structural trade-offs and limits in ROS 2 middleware for distributed robotic systems.
Robot middleware is the harness for Physical AI and should implement Projection, Isolation, and Transfer to enforce AI model outputs across control, computation, and communication.
citing papers explorer
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ros2probe: Non-intrusive, Kernel-selective Observability for Robot Operating System 2 Middleware
ros2probe reconstructs full ROS 2 communication state from discovery packets and applies in-kernel topic filters to deliver non-intrusive observability that matches standard tools while eliminating probe-effect overhead.
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The Three Dimensions of ROS 2 Middleware
This survey introduces a three-dimensional conceptual framework (Space, Time, State) to analyze structural trade-offs and limits in ROS 2 middleware for distributed robotic systems.
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Harness Engineering for Physical AI: Robot Middleware Is the Harness Layer
Robot middleware is the harness for Physical AI and should implement Projection, Isolation, and Transfer to enforce AI model outputs across control, computation, and communication.