research

How can we create persistent and robust robot decision-making systems capable of functioning in complex, unstructured environments where intelligent systems can have a profound societal impact in areas such as environmental monitoring, search and rescue, and cargo or passenger transportation?

work

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Intention-aware Collision Avoidance

Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters
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Multi-modal Maritime Perception Dataset

SeePerSea -- Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
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Multiple obstacle avoidance

Motion Attribute-based Clustering and Collision Avoidance of Multiple In-water Obstacles by Autonomous Surface Vehicle
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Obstacle detection by LiDAR

Efficient LiDAR-based In-water Obstacle Detection and Segmentation by Autonomous Surface Vehicles in Aquatic Environments
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Near miss Obstacle Avoidance

Risk vector-based near miss and real-time obstacle avoidance for autonomous surface vehicles
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Heterogeneous Robotic Water Quality Monitoring

Towards a Reliable Heterogeneous Robotic Water Quality Monitoring System--An Experimental Analysis
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Design and building of autonomous surface vehicle

Catabot -- Autonomous Surface Vehicle with an Optimized Design for Environmental Monitoring
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maritime sensor fusion framework

sensor fusion for better obstacle detection