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Helping Robots Learn: A Human-Robot Master-Apprentice Model Using Demonstrations via Virtual Reality Teleoperation
Joseph Delpreto
, Jeffrey I. Lipton
, Lindsay Sanneman
, Aidan J. Fay
, Christopher Fourie
,
Changhyun Choi
, Daniela Rus
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
41
Scopus citations
Overview
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Dive into the research topics of 'Helping Robots Learn: A Human-Robot Master-Apprentice Model Using Demonstrations via Virtual Reality Teleoperation'. Together they form a unique fingerprint.
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Keyphrases
Virtual Reality
100%
Human-robot
100%
Teleoperation
100%
Apprenticeship Model
100%
Master-apprentice
100%
Human Expertise
100%
Grasping Task
100%
Robotics
50%
Artificial Intelligence
50%
System Yield
50%
Multiple Robots
50%
Human Perception
50%
Human Intervention
50%
User Study
50%
Effectiveness Perception
50%
System Scalability
50%
Human Time
50%
Learning from Demonstration
50%
Deployability
50%
Supervised Approach
50%
Robot Skills
50%
Self-supervised Learning
50%
Computer Science
Virtual Reality
100%
Robot
100%
Self-Supervised Learning
50%
multiple robot
50%
Experimental Result
50%
Human Perception
50%
Human Intervention
50%
Artificial Intelligence
50%