Your Location：
Home >
Browse articles >
E2MN: human-inspired end-to-end mapless navigation with oscillation suppression and short-term memory
Regular Papers | Updated：2026-01-07

    • E2MN: human-inspired end-to-end mapless navigation with oscillation suppression and short-term memory

      Enhanced Publication
    • E2MN：具备振荡抑制与短期记忆的端到端无地图人类行为仿生导航方法
    • “In the field of robotic navigation, this paper introduces an interpretable and mapless navigation method using only 2D LiDAR, mimicking human strategies to escape from dead ends. The proposed method achieves map-like performance without a map, reducing the average path length by 50.51% compared to the classical mapless Bug2 algorithm and increasing it by only 17.57% compared to map-based navigation.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 11, Pages: 2254-2281(2025)

    • DOI：10.1631/FITEE.2500348    

      CLC： TP242

    • Received：29 May 2025，

      Revised：2025-10-26，

      Published：2025-11

    Scan QR Code

  • Yinan YANG, Zhiye WANG, Xuan KONG, et al. E2MN: human-inspired end-to-end mapless navigation with oscillation suppression and short-term memory[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2254-2281. DOI： 10.1631/FITEE.2500348.

  •  
  •  

0

Views

0

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

No data

Related Institution

No data
0