T3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay DraftsT3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts

Enhancing ROS Debugging: A User-Centric Diagnostic Framework

Primary research

#345

T1digested

Canonical URL: https://www.semanticscholar.org/paper/10c1f89f5e63aceec4e4f1a701d8a52faa6faba2
Topic: Robotics and Embodied AI
First seen: 2026-07-16 23:33:01
Last seen: 2026-07-16 23:33:01

Source raw items (1)

Semantic Scholar2026-07-16 23:31:51
Enhancing ROS Debugging: A User-Centric Diagnostic Framework
The Robot Operating System (ROS) is an open-source software framework often utilised in robotics, providing standardised libraries for building complex robotic systems. However, ROS's distributed architecture and messaging system create barriers for understanding robot status and diagnosing system anomalies, particularly for developers with limited ROS expertise. We propose ROS Help Desk (RosHD), an agentic AI system for autonomous anomaly detection and debugging of ROS-based robotic systems, with expertise-adaptive assistance. RosHD continuously monitors system logs and multimodal sensor streams (lidar, RGB cameras) to detect anomalies, and provides developers with customised debugging support via specialised sensor analysis tools, diagnostic tools, ROS diagnostic utilities, code analysis capabilities, and a unified chat interface. We present the first empirical evaluation of expertise-adaptive LLM-powered debugging for ROS through a controlled user study with novice through advanced developers ($N=28$). Participants using RosHD achieved 92.85% task success compared to 17.86% with baseline assistance, reducing debugging time by up to 72% across experience levels.