Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs
Deep learning methods for perception are the cornerstone of many robotic systems. Despite
their potential for impressive performance, obtaining real-world training data is expensive …
their potential for impressive performance, obtaining real-world training data is expensive …
Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
M Jones - arXiv preprint arXiv:2312.06791, 2023 - arxiv.org
This paper introduces a novel approach for learning polynomial representations of physical
objects. Given a point cloud data set associated with a physical object, we solve a one-class …
objects. Given a point cloud data set associated with a physical object, we solve a one-class …