Purposive learning: Robot reasoning about the meanings of human activities-Reference-Cited by-同舟云学术

Purposive learning: Robot reasoning about the meanings of human activities

Published:2019-01-30 Issue:26 Volume:4 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Cheng Gordon¹^ORCID,Ramirez-Amaro Karinne¹^ORCID,Beetz Michael²^ORCID,Kuniyoshi Yasuo³^ORCID

Affiliation:

1. Institute for Cognitive Systems, Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany.

2. Institute for Artificial Intelligence, University of Bremen, Am Fallturm 1, 28359 Bremen, Germany.

3. School of Information Science and Technology and Next Generation Artificial Intelligence Research Center, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Abstract

Reasoning about the meanings of human activities is a powerful way for robots to learn from humans.

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference10 articles.

1. Learning by watching: extracting reusable task knowledge from visual observation of human performance

2. Y. Kuniyoshi Learning from examples: Imitation learning and emerging cognition in Humanoid Robotics and Neuroscience: Science Engineering and Society G. Cheng Ed. (CRC Press Boca Raton FL 2015) pp. 223–250.

3. From self-observation to imitation: Visuomotor association on a robotic hand

4. Using humanoid robots to study human behavior

5. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors

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