Antoine Richard

According to our database, Antoine Richard authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez

CoRR, September, 2025

PLUME: Procedural Layer Underground Modeling Engine.

Gabriel Manuel Garcia, Antoine Richard, Miguel A. Olivares-Méndez

CoRR, August, 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, May, 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., March, 2025

Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion.

Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez

CoRR, March, 2025

Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment.

Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update.

Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez

CoRR, 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

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

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories.

Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Méndez

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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, Cédric Pradalier

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

GPS-VIO Fusion with Online Rotational Calibration.

Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the European Robotics Forum 2024, 2024

Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor.

Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez

Proceedings of the International Conference on 3D Vision, 2024

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, September, 2023

RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts.

Matteo El Hariry, Antoine Richard, 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

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

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

GPS-aided Visual Wheel Odometry.

Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Next-Best-View Selection from Observation Viewpoint Statistics.

Stéphanie Aravecchia, Antoine Richard, Marianne Clausel, Cédric Pradalier

IROS, 2023

2022

On the Modeling of Dynamic-Systems using Sequence-based Deep Neural-Networks.

Antoine Richard

PhD thesis, 2022

A data driven approach to generate realistic 3D tree barks.

Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier

Graph. Model., 2022

2021

How to Train Your HERON.

Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier

IEEE Robotics Autom. Lett., 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

Learning Behaviors through Physics-driven Latent Imagination.

Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Study on Trees's Knots Prediction from their Bark Outer-Shape.

Mohamed Mejri, Antoine Richard, Cédric Pradalier

CoRR, 2020

A Survey On 3D Inner Structure Prediction from its Outer Shape.

Mohamed Mejri, Antoine Richard, Cédric Pradalier

CoRR, 2020

Filling Gaps in Micro-meteorological Data.

Antoine Richard, Lior Fine, Offer Rozenstein, Josef Tanny, Matthieu Geist, Cédric Pradalier

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019

Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry.

Xiaolong Wu, Assia Benbihi, Antoine Richard, Cédric Pradalier

CoRR, 2019

Importance Sampling for Deep System Identification.

Antoine Mahé, Antoine Richard, Benjamin Mouscadet, Cédric Pradalier, Matthieu Geist

Proceedings of the 19th International Conference on Advanced Robotics, 2019