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cs.RO2024
Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features
Makram Chahine, Alex Quach, Alaa Maalouf +2
End-to-end learning directly maps sensory inputs to actions, creating highly integrated and efficient policies for complex robotics tasks. However, such models often struggle to ge…
cs.RO2024
Probing Multimodal LLMs as World Models for Driving
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf +3
We provide a sober look at the application of Multimodal Large Language Models (MLLMs) in autonomous driving, challenging common assumptions about their ability to interpret dynami…