Importance Sampling for Deep System Identification. - Antoine Mahé; Antoine Richard 001; Benjamin Mouscadet; Cédric Pradalier; Matthieu Geist (ICAR, 2019)

Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry. - Xiaolong Wu; Assia Benbihi; Antoine Richard 001; Cédric Pradalier (CoRR, 2019)

Filling Gaps in Micro-meteorological Data. - Antoine Richard 001; Lior Fine; Offer Rozenstein; Josef Tanny; Matthieu Geist; Cédric Pradalier (ECML/PKDD (5), 2020)

A Survey On 3D Inner Structure Prediction from its Outer Shape. - Mohamed Mejri; Antoine Richard 001; Cédric Pradalier (CoRR, 2020)

A Study on Trees's Knots Prediction from their Bark Outer-Shape. - Mohamed Mejri; Antoine Richard 001; Cédric Pradalier (CoRR, 2020)

Learning Behaviors through Physics-driven Latent Imagination. - Antoine Richard 001; Stéphanie Aravecchia; Matthieu Geist; Cédric Pradalier (CoRL, 2021)

Evaluation of Prioritized Deep System Identification on a Path Following Task. - Antoine Mahé; Antoine Richard 001; Stéphanie Aravecchia; Matthieu Geist; Cédric Pradalier (J. Intell. Robotic Syst., 2021)

How to Train Your HERON. - Antoine Richard 001; Stéphanie Aravecchia; Thomas Schillaci; Matthieu Geist; Cédric Pradalier (IEEE Robotics Autom. Lett., 2021)

A data driven approach to generate realistic 3D tree barks. - Aishwarya Venkataramanan; Antoine Richard 001; Cédric Pradalier (Graph. Model., 2022)

On the Modeling of Dynamic-Systems using Sequence-based Deep Neural-Networks. - Antoine Richard 001 (2022)

Next-Best-View Selection from Observation Viewpoint Statistics. - Stéphanie Aravecchia; Antoine Richard 001; Marianne Clausel; Cédric Pradalier (IROS, 2023)

GPS-aided Visual Wheel Odometry. - Junlin Song; Pedro J. Sanchez-Cuevas; Antoine Richard 001; Miguel A. Olivares-Méndez (ITSC, 2023)

OmniLRS: A Photorealistic Simulator for Lunar Robotics. - Antoine Richard 001; Junnosuke Kamohara; Kentaro Uno; Shreya Santra; Dave van der Meer; Miguel A. Olivares-Méndez; Kazuya Yoshida (CoRR, 2023)

Improving GPS-VIO Fusion with Adaptive Rotational Calibration. - Junlin Song; Pedro J. Sanchez-Cuevas; Antoine Richard 001; Raj Thilak Rajan; Miguel A. Olivares-Méndez (CoRR, 2023)

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. - Matteo El Hariry; Antoine Richard 001; Vivek Muralidharan; Baris Can Yalçin; Matthieu Geist; Miguel A. Olivares-Méndez (CoRR, 2023)

RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts. - Matteo El Hariry; Antoine Richard 001; Miguel A. Olivares-Méndez (CoRR, 2023)

REALMS: Resilient exploration and lunar mapping system. - Dave van der Meer; Loïck Chovet; Abhishek Bera; Antoine Richard 001; Pedro Jesus Sanchez-Cuevas; José Ricardo Sánchez-Ibáñez; Miguel A. Olivares-Méndez (Frontiers Robotics AI, 2023)

Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. - Junlin Song; Antoine Richard 001; Miguel A. Olivares-Méndez (3DV, 2024)

Grasp-O: A Generative System for Object-Centric 6-DoF Grasping of Unknown Objects. - Kuldeep R. Barad; Andrej Orsula; Antoine Richard 001; Jan Dentler; Miguel S. Olivares-Méndez; Carol Martínez (ERF (2), 2024)

OmniLRS: A Photorealistic Simulator for Lunar Robotics. - Antoine Richard 001; Junnosuke Kamohara; Kentaro Uno; Shreya Santra; Dave van der Meer; Miguel S. Olivares-Méndez; Kazuya Yoshida (ICRA, 2024)

GPS-VIO Fusion with Online Rotational Calibration. - Junlin Song; Pedro J. Sanchez-Cuevas; Antoine Richard 001; Raj Thilak Rajan; Miguel A. Olivares-Méndez (ICRA, 2024)

A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation. - Luis F. W. Batista; Junghwan Ro; Antoine Richard 001; Pete Schröpfer; Seth Hutchinson 001; Cédric Pradalier (IROS, 2024)

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. - Matteo El Hariry; Antoine Richard 001; Vivek Muralidharan; Matthieu Geist; Miguel A. Olivares-Méndez (IROS, 2024)

GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models. - Kuldeep R. Barad; Andrej Orsula; Antoine Richard 001; Jan Dentler; Miguel A. Olivares-Méndez; Carol Martínez (IEEE Access, 2024)

Object-centric Reconstruction and Tracking of Dynamic Unknown Objects using 3D Gaussian Splatting. - Kuldeep R. Barad; Antoine Richard 001; Jan Dentler; Miguel A. Olivares-Méndez; Carol Martínez (CoRR, 2024)

An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update. - Junlin Song; Antoine Richard 001; Miguel A. Olivares-Méndez (CoRR, 2024)

Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment. - Junlin Song; Antoine Richard 001; Miguel A. Olivares-Méndez (ICRA, 2025)

Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion. - Junlin Song; Antoine Richard 001; Miguel A. Olivares-Méndez (CoRR, 2025)

Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration. - Loïck Chovet; Gabriel Manuel Garcia; Abhishek Bera; Antoine Richard 001; Kazuya Yoshida; Miguel Angel Olivares-Méndez (J. Intell. Robotic Syst., 2025)

NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation. - Matteo El Hariry; Antoine Richard 001; Ricard M. Castan; Luis F. W. Batista; Matthieu Geist; Cédric Pradalier; Miguel A. Olivares-Méndez (CoRR, 2025)

PLUME: Procedural Layer Underground Modeling Engine. - Gabriel Manuel Garcia; Antoine Richard 001; Miguel A. Olivares-Méndez (CoRR, 2025)

Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration. - Junlin Song; Antoine Richard 001; Miguel A. Olivares-Méndez (CoRR, 2025)