Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning
Abstract Microorganisms have evolved diverse strategies to propel themselves in viscous fluids, navigate complex environments, and exhibit taxis in response to stimuli. This has inspired the development of miniature robots, where artificial intelligence (AI) is playing an increasingly important role...
Saved in:
| Main Authors: | Tongzhao Xiong, Zhaorong Liu, Yufei Wang, Chong Jin Ong, Lailai Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60646-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Navigating contradictions in enteric chemotactic stimuli
by: Kailie Franco, et al.
Published: (2025-08-01) -
To reset, or not to reset—that is the question
by: György P. Gehér, et al.
Published: (2025-03-01) -
Primary intrinsic chemotactic defect
by: O Yeğin, et al.
Published: (1981-10-01) -
Autonomous Navigation of Mobile Robots: A Hierarchical Planning–Control Framework with Integrated DWA and MPC
by: Zhongrui Wang, et al.
Published: (2025-03-01) -
Seismic performance design of reinforced concrete structures with elastic self-resetting
by: Mian Tang, et al.
Published: (2024-12-01)