PAANI architecture fuses on-device visual evidence for river robot guidance
2026-09-25
Researchers introduce PAANI, an on-device perception to guidance system for river monitoring robots. The architecture integrates visual detection and segmentation with timestamp-aligned evidence fusion to generate inspectable guidance.
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Researchers have developed PAANI, an on-device perception to guidance system for river monitoring robots. This system fuses visual detection and segmentation with timestamp-aligned evidence to generate inspectable guidance for robot navigation.
Key facts
- PAANI is an on-device perception to guidance architecture designed for river robot navigation.
- The system integrates a YOLO11n detector and a MobileNetV3 Small semantic segmenter.
- PAANI uses timestamp-aligned evidence fusion and bounded tracking to ensure object persistence.
- An explicit corridor policy incorporates various factors to generate advisories with supporting evidence and rationale.
- The system aims to provide verifiable guidance by exposing the evidence and reasoning behind robotic decisions.
Source: arXiv · cs.AI
Reported by VERA Newswire.
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