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20242026
most citedA Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Cascaded consensus splitting for multi-branch contingency games

Bastien Lechardoy, Pau de las Heras Molins, Thibault Lahire +4

Contingency games enable agents to anticipate and plan for other agents' hypothetical intents by constructing trajectories with a shared prefix and intent-dependent branches. While…

cs.RO2026

Connectivity-Aware Graph Extension for Decentralized Multi-Robot Exploration

Béatrice Garcia Cegarra, Elena Vanneaux, Quentin Picard +1

Exploring unknown environments with multiple UAVs requires coordination under intermittent communication, making decentralized operation a baseline assumption. We propose, within a…

cs.RO2026

Multimodal embodiment-aware navigation transformer

Louis Dezons, Quentin Picard, Rémi Marsal +2

Goal-conditioned navigation models for ground robots trained using supervised learning show promising zero-shot transfer, but their collision-avoidance capability nevertheless degr…

cs.RO2026

An Open-Source LiDAR and Monocular Off-Road Autonomous Navigation Stack

Rémi Marsal, Quentin Picard, Adrien Poiré +5

Off-road autonomous navigation demands reliable 3D perception for robust obstacle detection in challenging unstructured terrain. While LiDAR is accurate, it is costly and power-int…

cs.RO2025

NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval

Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto +2

Navigation among movable obstacles (NAMO) is a critical task in robotics, often challenged by real-world uncertainties such as observation noise, model approximations, action failu…

cs.CV2024★ 1 cited

A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation

Rémi Marsal, Alexandre Chapoutot, Philippe Xu +1

The recent development of \emph{foundation models} for monocular depth estimation such as Depth Anything paved the way to zero-shot monocular depth estimation. Since it returns an…