Antoine Richard

42 papers A* 3A 4Misc 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment. ICRA Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2025	J	`jnl`	Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment. CoRR Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2025	J	`jnl`	NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation. CoRR Matteo El Hariry, Antoine Richard, Ricard M. Castan, Luis F. W. Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez
2025	A	`conf`	Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion. IROS Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2025	J	`jnl`	Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion. CoRR Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2025	J	`jnl`	PLUME: Procedural Layer Underground Modeling Engine. CoRR Gabriel Manuel Garcia, Antoine Richard, Miguel A. Olivares-Méndez
2025	J	`jnl`	Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration. J. Intell. Robotic Syst. Loïck Chovet, Gabriel Manuel Garcia, Abhishek Bera, Antoine Richard, Kazuya Yoshida, Miguel Angel Olivares-Méndez
2025	J	`jnl`	RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation. Trans. Mach. Learn. Res. Matteo El Hariry, Antoine Richard, Ricard Marsal, Luis Felipe Wolf Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez
2025	J	`jnl`	Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration. CoRR Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2024	A	`conf`	A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation. IROS Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schröpfer, Seth Hutchinson, Cédric Pradalier
2024	J	`jnl`	A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation. CoRR Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schröpfer, Seth Hutchinson, Cédric Pradalier
2024	J	`jnl`	An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update. CoRR Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2024	A	`conf`	DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. IROS Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Méndez
2024	A*	`conf`	GPS-VIO Fusion with Online Rotational Calibration. ICRA Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez
2024	—	`conf`	Grasp-O: A Generative System for Object-Centric 6-DoF Grasping of Unknown Objects. ERF (2) Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel S. Olivares-Méndez, Carol Martínez
2024	J	`jnl`	GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models. IEEE Access Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez
2024	—	`conf`	Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. 3DV Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2024	J	`jnl`	Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. CoRR Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez
2024	J	`jnl`	Modeling of Terrain Deformation by a Grouser Wheel for Lunar Rover Simulation. CoRR Junnosuke Kamohara, Vinicius Ares, James Hurrell, Keisuke Takehana, Antoine Richard, Shreya Santra, Kentaro Uno, Eric Rohmer, Kazuya Yoshida
2024	J	`jnl`	Object-centric Reconstruction and Tracking of Dynamic Unknown Objects using 3D Gaussian Splatting. CoRR Kuldeep R. Barad, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez
2024	A*	`conf`	OmniLRS: A Photorealistic Simulator for Lunar Robotics. ICRA Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel S. Olivares-Méndez, Kazuya Yoshida
2024	J	`jnl`	Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration. CoRR Loïck Chovet, Gabriel Manuel Garcia, Abhishek Bera, Antoine Richard, Kazuya Yoshida, Miguel Angel Olivares-Méndez
2023	J	`jnl`	DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. CoRR Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Baris Can Yalçin, Matthieu Geist, Miguel A. Olivares-Méndez
2023	—	`conf`	GPS-aided Visual Wheel Odometry. ITSC Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez
2023	J	`jnl`	GPS-aided Visual Wheel Odometry. CoRR Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez
2023	J	`jnl`	GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models. CoRR Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Méndez, Carol Martínez
2023	J	`jnl`	Improving GPS-VIO Fusion with Adaptive Rotational Calibration. CoRR Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Méndez
2023	A	`conf`	Next-Best-View Selection from Observation Viewpoint Statistics. IROS Stéphanie Aravecchia, Antoine Richard, Marianne Clausel, Cédric Pradalier
2023	J	`jnl`	OmniLRS: A Photorealistic Simulator for Lunar Robotics. CoRR Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel A. Olivares-Méndez, Kazuya Yoshida
2023	J	`jnl`	RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts. CoRR Matteo El Hariry, Antoine Richard, Miguel A. Olivares-Méndez
2023	J	`jnl`	REALMS: Resilient exploration and lunar mapping system. Frontiers Robotics AI Dave van der Meer, Loïck Chovet, Abhishek Bera, Antoine Richard, Pedro Jesus Sanchez-Cuevas, José Ricardo Sánchez-Ibáñez, Miguel A. Olivares-Méndez
2022	J	`jnl`	A data driven approach to generate realistic 3D tree barks. Graph. Model. Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier
2022	—	`—`	On the Modeling of Dynamic-Systems using Sequence-based Deep Neural-Networks. Antoine Richard
2021	J	`jnl`	Evaluation of Prioritized Deep System Identification on a Path Following Task. J. Intell. Robotic Syst. Antoine Mahé, Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
2021	J	`jnl`	How To Train Your HERON. CoRR Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
2021	J	`jnl`	How to Train Your HERON. IEEE Robotics Autom. Lett. Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
2021	Misc	`conf`	Learning Behaviors through Physics-driven Latent Imagination. CoRL Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
2020	J	`jnl`	A Study on Trees's Knots Prediction from their Bark Outer-Shape. CoRR Mohamed Mejri, Antoine Richard, Cédric Pradalier
2020	J	`jnl`	A Survey On 3D Inner Structure Prediction from its Outer Shape. CoRR Mohamed Mejri, Antoine Richard, Cédric Pradalier
2020	—	`conf`	Filling Gaps in Micro-meteorological Data. ECML/PKDD (5) Antoine Richard, Lior Fine, Offer Rozenstein, Josef Tanny, Matthieu Geist, Cédric Pradalier
2019	—	`conf`	Importance Sampling for Deep System Identification. ICAR Antoine Mahé, Antoine Richard, Benjamin Mouscadet, Cédric Pradalier, Matthieu Geist
2019	J	`jnl`	Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry. CoRR Xiaolong Wu, Assia Benbihi, Antoine Richard, Cédric Pradalier