Six-Dimensional Target Pose Estimation for Robot Autonomous Manipulation: Methodology and Verification
Author:
Affiliation:
1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2. Yizhun Medical AI Company Ltd, Beijing, China
Funder
National Key Research and Development Program of China
Beijing Nova Program
Beijing Municipal Natural Science Foundation
National Natural Science Foundation of China
Youth Innovation Promotion Association CAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Software
Link
http://xplorestaging.ieee.org/ielx7/7274989/10061504/09714272.pdf?arnumber=9714272
Reference45 articles.
1. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
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3. Latent-Class Hough Forests for 3D Object Detection and Pose Estimation
4. Fast Point Feature Histograms (FPFH) for 3D registration
5. Robot grasp planning based on demonstrated grasp strategies
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