Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking
Author:
Affiliation:
1. Computer Science Department, Brigham Young University, Provo, UT, USA
2. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
Funder
Office of Naval Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8860/10214173/10106113.pdf?arnumber=10106113
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