2 papers
cs.RO2022
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Marco Rosano, Antonino Furnari, Luigi Gulino +2
Navigating complex indoor environments requires a deep understanding of the space the robotic agent is acting into to correctly inform the navigation process of the agent towards t…
cs.RO2020
On Embodied Visual Navigation in Real Environments Through Habitat
Marco Rosano, Antonino Furnari, Luigi Gulino +1
Visual navigation models based on deep learning can learn effective policies when trained on large amounts of visual observations through reinforcement learning. Unfortunately, col…