Comprehensive Assessment of Orbital Robotics, Space Application Simulation/Machine Learning, and Methods of Hardware in the Loop Validation-Reference-Cited by-同舟云学术

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Comprehensive Assessment of Orbital Robotics, Space Application Simulation/Machine Learning, and Methods of Hardware in the Loop Validation

Published:2022-03-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Aerospace Conference (AERO)
language:
Short-container-title:

Author:

Peterson Marco¹,Du Minzhen²,Springle Bryant¹,Black Jonathan¹

Affiliation:

1. Hume Center for National Security and Technology, Virginia Polytechnic Institute,Blacksburg,Virginia,24073

2. Virginia Polytechnic Institute,Department of Aerospace and Ocean Engineering,Blacksburg,Virginia,24073

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9843190/9843194/09843216.pdf?arnumber=9843216

Reference87 articles.

1. Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects;tremblay;2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06),2018

2. Robotics system toolbox;Matlab A Simulink,0

3. Powering the world's robots;ROS org,0

4. Systems tool kit (STK);Systems Tool Kit (STK),0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LunarSim: Lunar Rover Simulator Focused on High Visual Fidelity and ROS 2 Integration for Advanced Computer Vision Algorithm Development;Applied Sciences;2023-11-16

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