Aug. 13, 2022, 6:13 p.m. | Nitish Kumar

MarkTechPost www.marktechpost.com

The goal of planetary exploration is to improve science by revealing new information about the geology and resource potential of other worlds. Extraterrestrial robotic systems are crucial in their acquisition for either in-situ analysis or sample return, which is a significant component of this project’s sample analysis. In order to extract hydrogen and oxygen for […]


The post Researchers at The University of Luxembourg Develop a Method to Learn Grasping Objects on the Moon from 3D Octree Observations with Deep …

3d ai shorts applications artificial intelligence deep learning editors pick learning moon objects reinforcement reinforcement learning researchers staff technology university

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO

@ Eurofins | Pueblo, CO, United States

Camera Perception Engineer

@ Meta | Sunnyvale, CA