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Research paper

Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments

The controller combines short-horizon NMPC, stability constraints and a relaxed CBF decay rate for mobile-robot tracking. Simulations and Husky A200 experiments compare obstacle-avoidance behavior. The archive links a 2024 conference publication; its 2022 first posting remains a different date.

Reviewed 2026-11-05 · Source and bibliography checked

Bibliographic details and the editorial overview were checked against the original source. Access conditions and editions are identified with the source.
Original title
Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments
Publisher
arXiv
Authors
Minh, Nhat Nguyen, McIlvanna, Stephen, Sun, Yuzhu, Jin, Yan, Van, Mien
DOI
10.48550/arxiv.2211.11348
First archive posting
2022-11-21
Source language
en
Source country
US
Edition
v2
Access
Open archive metadata and manuscript
Publication status
Archive manuscript · linked publication metadata

Related resources and engineering notes

Source overview

The controller combines short-horizon NMPC, stability constraints and a relaxed CBF decay rate for mobile-robot tracking. Simulations and Husky A200 experiments compare obstacle-avoidance behavior. The archive links a 2024 conference publication; its 2022 first posting remains a different date.

Use and review

Original summary of the primary archive abstract and bibliographic record. Specialist technical and native-language review remain pending. The reported method does not establish a deployed safety function or achieved PL.

Sources & editions

Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments ↗

arXiv · v2

arXiv abstract, authors, submission history and DOI links; first posting 2022-11-21, abstract reviewed in v2. Publisher dates are separate.