Artemis Stefanidou
Papers
2
Total Citations
4
H-Index
1
About
Dr. Artemis Stefanidou is pioneering the intersection of artificial intelligence and robotics, with a focus on autonomous systems that operate in complex, unstructured environments. Her key research areas include deep reinforcement learning for underwater robotics and foundation models for robotic manipulation. In her 2024 paper, "A Deep Reinforcement Learning Approach for Navigation and Control of Autonomous Underwater Vehicles in Complex Environments," she introduced novel algorithms that enable AUVs to navigate challenging underwater terrains with unprecedented autonomy—a critical advancement for ocean exploration and environmental monitoring. Building on this, her 2025 work, "TORNADO: Foundation Models for Robots that Handle Small, Soft and Deformable Objects," presents a cloud-integrated platform that leverages large-scale foundation models to tackle the notoriously difficult task of manipulating delicate, irregular objects in dynamic indoor settings. Though early in her career, Dr. Stefanidou’s work has already garnered attention, with her papers accumulating citations that underscore their novelty and potential impact. Her contributions are shaping the next generation of adaptive, intelligent robots capable of operating beyond controlled lab environments, from deep-sea missions to everyday household tasks.
Research Focus
Key Achievements
Top Papers
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