Antoine Richard

Orcid: 0000-0001-8677-8910

According to our database1, Antoine Richard authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update.
CoRR, 2024

Modeling of Terrain Deformation by a Grouser Wheel for Lunar Rover Simulation.
CoRR, 2024

A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation.
CoRR, 2024

Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration.
CoRR, 2024

Object-centric Reconstruction and Tracking of Dynamic Unknown Objects using 3D Gaussian Splatting.
CoRR, 2024

GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models.
IEEE Access, 2024

GPS-VIO Fusion with Online Rotational Calibration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

OmniLRS: A Photorealistic Simulator for Lunar Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor.
Proceedings of the International Conference on 3D Vision, 2024

2023
REALMS: Resilient exploration and lunar mapping system.
Frontiers Robotics AI, September, 2023

RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts.
CoRR, 2023

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories.
CoRR, 2023

Improving GPS-VIO Fusion with Adaptive Rotational Calibration.
CoRR, 2023

OmniLRS: A Photorealistic Simulator for Lunar Robotics.
CoRR, 2023

GPS-aided Visual Wheel Odometry.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Next-Best-View Selection from Observation Viewpoint Statistics.
IROS, 2023

Toward training NLP models to take into account privacy leakages.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
On the Modeling of Dynamic-Systems using Sequence-based Deep Neural-Networks.
PhD thesis, 2022

A data driven approach to generate realistic 3D tree barks.
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).
PhD thesis, 2021

How to Train Your HERON.
IEEE Robotics Autom. Lett., 2021

Evaluation of Prioritized Deep System Identification on a Path Following Task.
J. Intell. Robotic Syst., 2021

A virtual assistant dedicated to supporting day-to-day medical consultations.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Learning Behaviors through Physics-driven Latent Imagination.
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.
CoRR, 2020

A Survey On 3D Inner Structure Prediction from its Outer Shape.
CoRR, 2020

Filling Gaps in Micro-meteorological Data.
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.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry.
CoRR, 2019

Importance Sampling for Deep System Identification.
Proceedings of the 19th International Conference on Advanced Robotics, 2019


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