16 citations · 36 across the 13 of their papers we have counts for
13 papers
PINGU: Extending Air-Bearing Spacecraft Emulators with Open-Source Actuators and Learned Control for Contact-Rich Proximity Operations
Ricard Marsal I Castan, Akiyoshi Uchida, Aman Arora +7
Low-cost planar air-bearing testbeds have matured into a standard proxy for free-flying spacecraft GNC, but they remain largely thruster-only and are rarely equipped for contact-ri…
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks
Ricard Marsal I Castan, Aman Arora, Antoine Richard +3
Autonomous free-flying robots in orbital environments require controllers that are both versatile and resource-efficient, yet maintaining a separate, task-specific policy for each…
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
NVIDIA, :, Mayank Mittal +104
We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab c…
Unleashing the Power of Discrete-Time State Representation: Ultrafast Target-based IMU-Camera Spatial-Temporal Calibration
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
Visual-inertial fusion is crucial for a large amount of intelligent and autonomous applications, such as robot navigation and augmented reality. To bootstrap and achieve optimal st…
Observability Investigation for Rotational Calibration of (Global-pose aided) VIO under Straight Line Motion
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
Online extrinsic calibration is crucial for building "power-on-and-go" moving platforms, like robots and AR devices. However, blindly performing online calibration for unobservable…
Improving Monocular Visual-Inertial Initialization with Structureless Visual-Inertial Bundle Adjustment
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
Monocular visual inertial odometry (VIO) has facilitated a wide range of real-time motion tracking applications, thanks to the small size of the sensor suite and low power consumpt…
An Accurate Filter-based Visual Inertial External Force Estimator via Instantaneous Accelerometer Update
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
Accurate disturbance estimation is crucial for reliable robotic physical interaction. To estimate environmental interference in a low-cost and sensorless way (without force sensor)…
Object-centric Reconstruction and Tracking of Dynamic Unknown Objects using 3D Gaussian Splatting
Kuldeep R Barad, Antoine Richard, Jan Dentler +2
Generalizable perception is one of the pillars of high-level autonomy in space robotics. Estimating the structure and motion of unknown objects in dynamic environments is fundament…
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor
Junlin Song, Antoine Richard, Miguel Olivares-Mendez
In robotics, motion capture systems have been widely used to measure the accuracy of localization algorithms. Moreover, this infrastructure can also be used for other computer visi…
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…