Efficient Safe Control via Deep Reinforcement Learning and Supervisory Control – Case Study on Multi-Robot Warehouse Automation

Author:

Konishi Masahiro,Sasaki Tomotake,Cai Kai

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference16 articles.

1. Control barrier functions: Theory and applications;Ames,2019

2. Formal methods for discrete-time dynamical systems;Belta,2017

3. Brockman, G., Cheung, V., Pettersson, L., Schneider, J., Schulman, J., Tang, J., and Zaremba, W. (2016). OpenAI Gym. arXiv preprint, arXiv:1606.01540.

4. Warehouse automation by logistic robotic networks: a cyber-physical control approach;Cai;Frontiers of Information Technology & Electronic Engineering,2020

5. Cai, K. and Wonham, W. (2021). Supervisory control of discrete-event systems. In J. Baillieul and T. Samad (eds.), Encyclopedia of Systems and Control, 2245–2253. Springer, 2nd edition.

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