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Found 7 papers, 1 papers with code
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis
This work introduces a novel augmentation method that increases the diversity of a train set to improve the generalization abilities of a 6D pose estimation network.
Domain Generalization for In-Orbit 6D Pose Estimation
We address the problem of estimating the relative 6D pose, i. e., position and orientation, of a target spacecraft, from a monocular image, a key capability for future autonomous Rendezvous and Proximity Operations.
Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations
We train the NeRF model using a sparse collection of images that depict the target, and in turn generate a large dataset that is diverse both in terms of viewpoint and illumination.
Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation
We address the problem of (a) predicting the trajectory of an arm reaching motion, based on a few seconds of the motion's onset, and (b) leveraging this predictor to facilitate shared-control manipulation tasks, easing the cognitive load of the operator by assisting them in their anticipated direction of motion.
Machine Vision based Sample-Tube Localization for Mars Sample Return
A potential Mars Sample Return (MSR) architecture is being jointly studied by NASA and ESA.
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching
This work informs the Mars Sample Return campaign on the choice of a site where Perseverance (R0) will place a set of sample tubes for future retrieval by another rover (R1).
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
Accurate real-time pose estimation of spacecraft or object in space is a key capability necessary for on-orbit spacecraft servicing and assembly tasks.
