16 citations · 36 across the 13 of their papers we have counts for
4 papers · 1 filter
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models
Kuldeep R Barad, Andrej Orsula, Antoine Richard +3
Vision-based grasping of unknown objects in unstructured environments is a key challenge for autonomous robotic manipulation. A practical grasp synthesis system is required to gene…
RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts
Matteo El-Hariry, Antoine Richard, Miguel Olivares-Mendez
Nowadays, realistic simulation environments are essential to validate and build reliable robotic solutions. This is particularly true when using Reinforcement Learning (RL) based c…
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El-Hariry, Antoine Richard, Vivek Muralidharan +2
This investigation introduces a novel deep reinforcement learning-based suite to control floating platforms in both simulated and real-world environments. Floating platforms serve…
GPS-VIO Fusion with Online Rotational Calibration
Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard +2
Accurate global localization is crucial for autonomous navigation and planning. To this end, various GPS-aided Visual-Inertial Odometry (GPS-VIO) fusion algorithms are proposed in…