Search Results for author:
Found 4 papers, 2 papers with code
A Complete System for Automated 3D Semantic-Geometric Mapping of Corrosion in Industrial Environments
Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts.
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process
With ModularHI, the operator chooses which sensor inputs are available, and then ModularHI will compute a baseline model based on data collected during a burn-in state.
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning
Domain randomization improves the generalization of learned policies to novel scenes with previously unseen objects and different illumination conditions.
skrl: Modular and Flexible Library for Reinforcement Learning
skrl is an open-source modular library for reinforcement learning written in Python and designed with a focus on readability, simplicity, and transparency of algorithm implementations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
