Real-World Learning Control for Autonomous Exploration of a Biomimetic Robotic Shark
Author:
Affiliation:
1. State Key Laboratory of Management and Control for Complex Systems and Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Beijing Nova Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9985244/09776631.pdf?arnumber=9776631
Reference27 articles.
1. Autonomous Optimization of Swimming Gait in a Fish Robot With Multiple Onboard Sensors
2. Path-following Control of Fish-like Robots: A Deep Reinforcement Learning Approach
3. Autonomous Robot Navigation System Without Grid Maps Based on Double Deep Q-Network and RTK-GNSS Localization in Outdoor Environments
4. Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness
5. Controlling Robot Morphology From Incomplete Measurements
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