Digital twin for autonomous collaborative robot by using synthetic data and reinforcement learning
References
Recommendations
Supervised fuzzy reinforcement learning for robot navigation
A novel method for combination of supervised learning and fuzzy reinforcement learning (FRL) is proposed.Supervised learning is used for initialization of value (worth) of each candidate action of fuzzy rules in critic-only based FRL algorithms.The ...
Real-world reinforcement learning for autonomous humanoid robot docking
Reinforcement learning (RL) is a biologically supported learning paradigm, which allows an agent to learn through experience acquired by interaction with its environment. Its potential to learn complex action sequences has been proven for a variety of ...
Real-world reinforcement learning for autonomous humanoid robot charging in a home environment
TAROS'11: Proceedings of the 12th Annual conference on Towards autonomous robotic systemsIn this paper we investigate and develop a real-world reinforcement learning approach to autonomously recharge a humanoid Nao robot [1]. Using a supervised reinforcement learning approach, combined with a Gaussian distributed states activation, we are ...
Comments
Information & Contributors
Information
Published In
Publisher
Pergamon Press, Inc.
United States
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in