Evidence map›Paper›PMID 42076497›Full record

ArticleSensors (Basel, Switzerland)2026

Unified Modulation Matrix-Based Shared Control for Teleoperated Multi-Robot Formation and Obstacle Avoidance.

Ruidong Chen, Zhuoyue Zhang, Zhiyao Zhang, Jinyan Li, Haochen Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruidong ChenSchool of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Zhuoyue ZhangSchool of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Zhiyao ZhangSchool of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Jinyan LiSchool of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Haochen ZhangSchool of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.ORCID 0000-0003-0342-168X

Funding

Central Government Guiding Funds for Local Science and Technology Development Program 25ZYJA026Gansu Youth S&T Tackling Key Problems Project GQK2024040Hongliu Excellent Youth Fund of Lanzhou University of Technology nanLongyuan Youth Talent Project of Gansu Province nanthe National Natural Science Foundation of China 62203196the National Natural Science Foundation of China 62303074Youth Science and Technology Talent Innovation Project of Lanzhou 2025-QN-077
6 · The paper itself

Abstract

Multi-omnidirectional mobile robot formations offer significant advantages for applications in unstructured environments. However, under constraints such as limited field of view and high operator cognitive load, existing teleoperation frameworks struggle to guarantee formation safety and stability. In this study, a bilateral shared control framework for multi-robot formation that integrates intent perception and vortex-field modulation is proposed. First, an Intent-Mediated Asymmetric Vortex Modulation (IM-AVM) strategy is developed, where the operator's micro-intentions are mapped to determine the topological orientation of a vortex field. By constructing a dynamic asymmetric modulation matrix, saddle points in the potential field are geometrically eliminated, enabling deadlock-free obstacle avoidance while maintaining a rigid formation. Second, a multi-dimensional perception-based dynamic authority arbitration and topological deadlock escape mechanism is constructed, facilitating a seamless transition from assisted deadlock to autonomous escape. Finally, a formation coordination system based on anisotropic flow field modulation and adaptive sliding mode control is designed. Rigid formation constraints are transformed into a tangential safe flow field, and robust tracking is subsequently achieved through an Adaptive Nonsingular Fast Terminal Sliding Mode Controller (ANFTSMC). Theoretical analysis and experimental results demonstrate that the proposed framework achieves collision-free navigation for the formation in simulated environments.

Indexed as

asymmetric vortex fieldintent-mediatedmulti-robot formationobstacle avoidanceshared controlteleoperation

Identifiers

PMID42076497
PMCPMC13119839

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.