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Xiaomin Lin

9 accepted papers

2026

DREAM: Domain-Aware Reasoning for Efficient Autonomous Underwater Monitoring

ICRA 2026poster

The ocean is warming and acidifying, increasing the risk of mass mortality events for temperature-sensitive shellfish such as oysters. This motivates the development of long-term monitoring systems. However, human labor is costly and long-duration underwater work is highly hazardous, thus favoring r…

2025

ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics

ICRA 2025

Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and monitoring. However, current monitoring strategies often rely on d

Cited by 5SourceScholar
2025

ViewActive: Active viewpoint optimization from a single image

IROS 2025

When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This capability is crucial for enabling robots to achieve efficient and robust scene perception during operation, as optimal

Cited by 4SourcecodeScholar
2024

MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation

IROS 2024poster

Tasks such as autonomous navigation, 3D reconstruction, and object recognition near the water surfaces are crucial in marine robotics applications. However, challenges arise due to dynamic disturbances, e.g., light reflections and refraction from the random air-water interface, irregular liquid flow…

Cited by 3SourcecodeScholar
2024

UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning

ICRA 2024poster

Autonomous navigation in the underwater environment is challenging due to limited visibility, dynamic changes, and the lack of a cost-efficient, accurate localization system. We introduce UIVNAV, a novel end-to-end underwater navigation solution designed to navigate robots over Objects of Interest (…

Cited by 13SourceScholar
2023

Detecting Olives with Synthetic or Real Data? Olive the Above

IROS 2023poster

Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their similarity to the background leaf canopy presents a challenge. Labeling several thousands of very dense olive grove ima…

Cited by 2SourceScholar