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ORCIDAntoine Richard 0001
Person information
- affiliation: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT-SpaceR), Luxembourg
- affiliation (PhD 2022): Georgia Institute of Technology (Georgia Tech), School of Electrical and Computer Engineering, Atlanta, GA, USA
Other persons with the same name
- Antoine Richard — disambiguation page
- Antoine Richard 0002
![[0000-0001-8677-8910]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8677-8910")
— Hospices Civils de Lyon (GIE Hopsis Lyon), Chargé des Applications, DSN Bron, France (and 1 more)
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2020 – today
- 2025
[j7]Loïck Chovet, Gabriel Manuel Garcia, Abhishek Bera, Antoine Richard, Kazuya Yoshida, Miguel Angel Olivares-Méndez:
Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration. J. Intell. Robotic Syst. 111(1): 18 (2025)- [j6]Matteo El Hariry, Antoine Richard, Ricard Marsal, Luis Felipe Wolf Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez:
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation. Trans. Mach. Learn. Res. 2025 (2025) - [c12]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment. ICRA 2025: 1039-1045 - [i21]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment. CoRR abs/2502.16598 (2025) - [i20]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion. CoRR abs/2503.00027 (2025) - [i19]Matteo El Hariry, Antoine Richard, Ricard M. Castan, Luis F. W. Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez:
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation. CoRR abs/2505.14526 (2025) - [i18]Gabriel Manuel Garcia, Antoine Richard, Miguel A. Olivares-Méndez:
PLUME: Procedural Layer Underground Modeling Engine. CoRR abs/2508.20926 (2025) - [i17]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration. CoRR abs/2509.12846 (2025) - 2024
- [j5]Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez:
GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models. IEEE Access 12: 164621-164633 (2024) - [c11]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. 3DV 2024: 1027-1036 - [c10]Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel S. Olivares-Méndez, Carol Martínez:
Grasp-O: A Generative System for Object-Centric 6-DoF Grasping of Unknown Objects. ERF (2) 2024: 280-285 - [c9]Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez:
GPS-VIO Fusion with Online Rotational Calibration. ICRA 2024: 11906-11912 - [c8]Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel S. Olivares-Méndez, Kazuya Yoshida:
OmniLRS: A Photorealistic Simulator for Lunar Robotics. ICRA 2024: 16901-16907 - [c7]Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schröpfer, Seth Hutchinson, Cédric Pradalier:
A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation. IROS 2024: 1258-1264 - [c6]Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Méndez:
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. IROS 2024: 14034-14041 - [i16]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. CoRR abs/2403.00976 (2024) - [i15]Kuldeep R. Barad, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez:
Object-centric Reconstruction and Tracking of Dynamic Unknown Objects using 3D Gaussian Splatting. CoRR abs/2405.20104 (2024) - [i14]Loïck Chovet, Gabriel Manuel Garcia, Abhishek Bera, Antoine Richard, Kazuya Yoshida, Miguel Angel Olivares-Méndez:
Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration. CoRR abs/2407.03091 (2024) - [i13]Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schröpfer, Seth Hutchinson, Cédric Pradalier:
A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation. CoRR abs/2407.08263 (2024) - [i12]Junnosuke Kamohara, Vinicius Ares, James Hurrell, Keisuke Takehana, Antoine Richard, Shreya Santra, Kentaro Uno, Eric Rohmer, Kazuya Yoshida:
Modeling of Terrain Deformation by a Grouser Wheel for Lunar Rover Simulation. CoRR abs/2408.13468 (2024) - [i11]Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update. CoRR abs/2408.16354 (2024) - 2023
- [j4]Dave van der Meer, Loïck Chovet, Abhishek Bera, Antoine Richard, Pedro Jesus Sanchez-Cuevas, José Ricardo Sánchez-Ibáñez, Miguel A. Olivares-Méndez:
REALMS: Resilient exploration and lunar mapping system. Frontiers Robotics AI 10 (2023) - [c5]Stéphanie Aravecchia, Antoine Richard, Marianne Clausel, Cédric Pradalier:
Next-Best-View Selection from Observation Viewpoint Statistics. IROS 2023: 10505-10510 - [c4]Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez:
GPS-aided Visual Wheel Odometry. ITSC 2023: 375-382 - [i10]Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez:
GPS-aided Visual Wheel Odometry. CoRR abs/2308.15133 (2023) - [i9]Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel A. Olivares-Méndez, Kazuya Yoshida:
OmniLRS: A Photorealistic Simulator for Lunar Robotics. CoRR abs/2309.08997 (2023) - [i8]Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez:
Improving GPS-VIO Fusion with Adaptive Rotational Calibration. CoRR abs/2309.12005 (2023) - [i7]Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Baris Can Yalçin, Matthieu Geist, Miguel A. Olivares-Méndez:
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. CoRR abs/2310.04266 (2023) - [i6]Matteo El Hariry, Antoine Richard, Miguel A. Olivares-Méndez:
RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts. CoRR abs/2310.07393 (2023) - [i5]Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez:
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models. CoRR abs/2312.11243 (2023) - 2022
- [b1]Antoine Richard:
On the Modeling of Dynamic-Systems using Sequence-based Deep Neural-Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j3]Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier:
A data driven approach to generate realistic 3D tree barks. Graph. Model. 123: 101166 (2022) - 2021
- [j2]Antoine Mahé, Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier:
Evaluation of Prioritized Deep System Identification on a Path Following Task. J. Intell. Robotic Syst. 101(4): 78 (2021) - [j1]Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier:
How to Train Your HERON. IEEE Robotics Autom. Lett. 6(3): 5247-5252 (2021) - [c3]Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier:
Learning Behaviors through Physics-driven Latent Imagination. CoRL 2021: 1190-1199 - [i4]Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier:
How To Train Your HERON. CoRR abs/2102.10357 (2021) - 2020
- [c2]Antoine Richard, Lior Fine, Offer Rozenstein, Josef Tanny, Matthieu Geist, Cédric Pradalier:
Filling Gaps in Micro-meteorological Data. ECML/PKDD (5) 2020: 101-117 - [i3]Mohamed Mejri, Antoine Richard, Cédric Pradalier:
A Survey On 3D Inner Structure Prediction from its Outer Shape. CoRR abs/2002.04571 (2020) - [i2]Mohamed Mejri, Antoine Richard, Cédric Pradalier:
A Study on Trees's Knots Prediction from their Bark Outer-Shape. CoRR abs/2010.03173 (2020)
2010 – 2019
- 2019
- [c1]Antoine Mahé, Antoine Richard, Benjamin Mouscadet, Cédric Pradalier, Matthieu Geist:
Importance Sampling for Deep System Identification. ICAR 2019: 43-48 - [i1]Xiaolong Wu, Assia Benbihi, Antoine Richard, Cédric Pradalier:
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry. CoRR abs/1904.00738 (2019)
Coauthor Index
aka: Miguel Angel Olivares-Méndez
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