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

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

Transparency of Classification Systems for Clinical Decision Support. - Antoine Richard; Brice Mayag; François Talbot; Alexis Tsoukiàs; Yves Meinard (IPMU (3), 2020)

Filling Gaps in Micro-meteorological Data. - Antoine Richard; 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; Cédric Pradalier (CoRR, 2020)

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

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

A virtual assistant dedicated to supporting day-to-day medical consultations. - Antoine Richard; Brice Mayag; François Talbot; Alexis Tsoukiàs; Yves Meinard (ICHI, 2021)

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

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

Proposition d'un outil d'aide à la décision adapté aux contraintes et aux enjeux d'un soutien informatique aux consultations médicales coutumières. (A decision support system adapted to the constraints and the challenges of decision support in customary medical consultations). - Antoine Richard (2021)

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

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

Toward training NLP models to take into account privacy leakages. - Gaspard Berthelier; Antoine Boutet; Antoine Richard (IEEE Big Data, 2023)

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

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

OmniLRS: A Photorealistic Simulator for Lunar Robotics. - Antoine Richard; 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; Raj Thilak Rajan; Miguel A. Olivares-Méndez (CoRR, 2023)

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. - Matteo El Hariry; Antoine Richard; 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; Miguel A. Olivares-Méndez (CoRR, 2023)

REALMS: Resilient exploration and lunar mapping system. - Dave van der Meer; Loïck Chovet; Abhishek Bera; Antoine Richard; 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; 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; Jan Dentler; Miguel S. Olivares-Méndez; Carol Martínez (ERF (2), 2024)

OmniLRS: A Photorealistic Simulator for Lunar Robotics. - Antoine Richard; 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; 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; Pete Schröpfer; Seth Hutchinson 001; Cédric Pradalier (IROS, 2024)

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. - Matteo El Hariry; Antoine Richard; 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; 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; Jan Dentler; Miguel A. Olivares-Méndez; Carol Martínez (CoRR, 2024)

Modeling of Terrain Deformation by a Grouser Wheel for Lunar Rover Simulation. - Junnosuke Kamohara; Vinicius Ares; James Hurrell; Keisuke Takehana; Antoine Richard; Shreya Santra; Kentaro Uno; Eric Rohmer; Kazuya Yoshida (CoRR, 2024)

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

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

Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion. - Junlin Song; Antoine Richard; 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; 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; Ricard M. Castan; Luis F. W. Batista; Matthieu Geist; Cédric Pradalier; Miguel A. Olivares-Méndez (CoRR, 2025)