Antoine Richard

According to our database, Antoine Richard authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

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

CoRR, 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 25th 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

Toward training NLP models to take into account privacy leakages.

Gaspard Berthelier, Antoine Boutet, Antoine Richard

Proceedings of the IEEE International Conference on Big Data, 2023

2022

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

Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier

Graph. Model., 2022

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

PhD thesis, 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

A virtual assistant dedicated to supporting day-to-day medical consultations.

Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 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

Transparency of Classification Systems for Clinical Decision Support.

Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 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