activity
20232026
most citedOmniLRS: A Photorealistic Simulator for Lunar Robotics

14 citations · 16 across the 19 of their papers we have counts for

collaborators

19 papers

cs.RO2026

RoughSense: Lightweight Terrain-Induced Rover Vibration Prediction Using Point Clouds and IMU Feedback

Gabriel Manuel Garcia, Stephanie Aravecchia, Miguel Angel Olivares-Mendez

Autonomous navigation in space requires reliable terrain assessment for safe operations, especially in underground environments with limited communication, computing resources, and…

cs.RO2026

PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments

Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Levin Gerdes +2

Robotic navigation in unstructured environments requires robust situational awareness to safely traverse hazards such as steep slopes and rocky terrain. To address this challenge,…

cs.RO2025

Online Inertia Parameter Estimation for Unknown Objects Grasped by a Manipulator Towards Space Applications

Akiyoshi Uchida, Antonine Richard, Kentaro Uno +2

Knowing the inertia parameters of a grasped object is crucial for dynamics-aware manipulation, especially in space robotics with free-floating bases. This work addresses the proble…

cs.RO2025

REALMS2 -- Resilient Exploration And Lunar Mapping System 2 -- A Comprehensive Approach

Dave van der Meer, Loïck P. Chovet, Gabriel M. Garcia +2

The European Space Agency (ESA) and the European Space Resources Innovation Centre (ESRIC) created the Space Resources Challenge to invite researchers and companies to propose inno…

cs.RO2025

Towards Active Excitation-Based Dynamic Inertia Identification in Satellites

Matteo El-Hariry, Vittorio Franzese, Miguel Olivares-Mendez

This paper presents a comprehensive analysis of how excitation design influences the identification of the inertia properties of rigid nano- and micro-satellites. We simulate nonli…

cs.RO2025

Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration

Junlin Song, Antoine Richard, Miguel Olivares-Mendez

Visual-inertial fusion is crucial for a large amount of intelligent and autonomous applications, such as robot navigation and augmented reality. To bootstrap and achieve optimal st…