Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning
Equipping micro‐/nanoscale colloidal robots with artificial intelligence (AI) such that they can efficiently navigate in unknown complex environments can dramatically impact their use in emerging applications such as precision surgery and targeted nanodrug delivery. Herein, a model‐free deep reinfor...
Main Authors: | Yuguang Yang, Michael A. Bevan, Bo Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Advanced Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/aisy.201900106 |
Similar Items
-
Hierarchical Planning with Deep Reinforcement Learning for 3D Navigation of Microrobots in Blood Vessels
by: Yuguang Yang, et al.
Published: (2022-11-01) -
You Are Not Alone: Towards Cleaning Robot Navigation in Shared Environments through Deep Reinforcement Learning
by: Reinis Cimurs, et al.
Published: (2023-08-01) -
Mapless Collaborative Navigation for a Multi-Robot System Based on the Deep Reinforcement Learning
by: Wenzhou Chen, et al.
Published: (2019-10-01) -
Navigation in Unknown Dynamic Environments Based on Deep Reinforcement Learning
by: Junjie Zeng, et al.
Published: (2019-09-01) -
Leveraging Expert Demonstration Features for Deep Reinforcement Learning in Floor Cleaning Robot Navigation
by: Reinis Cimurs, et al.
Published: (2022-10-01)