activity
20232026
most citedDrive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO2026

Autonomous Sea Turtle Robot for Marine Fieldwork

Zach J. Patterson, Emily Sologuren, Levi Cai +4

Autonomous robots can transform how we observe marine ecosystems, but close-range operation in reefs and other cluttered habitats remains difficult. Vehicles must maneuver safely n…

cs.RO2026

Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving

Amir Mallak, Alaa Maalouf

Out of distribution (OOD) robustness in autonomous driving is often reduced to a single number, hiding what breaks a policy. We decompose environments along five axes: scene (rural…

cs.RO2025

Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring

Makram Chahine, William Yang, Alaa Maalouf +6

Wildlife field operations demand efficient parallel deployment methods to identify and interact with specific individuals, enabling simultaneous collective behavioral analysis, and…

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…

cs.RO2023★ 1 cited

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao +5

As autonomous driving technology matures, end-to-end methodologies have emerged as a leading strategy, promising seamless integration from perception to control via deep learning.…