Evidence map›Paper›PMID 41600318›Full record

ArticleSensors (Basel, Switzerland)2026

Robust Model Predictive Control with a Dynamic Look-Ahead Re-Entry Strategy for Trajectory Tracking of Differential-Drive Robots.

Diego Guffanti, Moisés Filiberto Mora Murillo, Santiago Bustamante Sanchez, Javier Oswaldo Obregón Gutiérrez, Marco Alejandro Hinojosa, Alberto Brunete, Miguel Hernando, David Álvarez

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Diego GuffantiCentro de Investigación en Mecatrónica y Sistemas Interactivos-MIST, Universidad Indoamérica, Av. Machala y Sabanilla, Quito 170103, Ecuador.ORCID 0000-0002-1244-291X
Moisés Filiberto Mora MurilloDepartamento de Mecánica y Ciencias Exactas, Instituto Superior Universitario Japón, Santo Domingo 230102, Ecuador.ORCID 0000-0002-2764-1524
Santiago Bustamante SanchezCarrera de Tecnología Superior en Mecánica Industrial, Instituto Superior Tecnológico Tsa'chila, Santo Domingo 230109, Ecuador.ORCID 0000-0001-6273-4075
Javier Oswaldo Obregón GutiérrezCarrera de Electrónica, Instituto Superior Tecnológico Tsa'chila, Santo Domingo 230109, Ecuador.ORCID 0000-0002-9331-6105
Marco Alejandro HinojosaCarrera de Tecnología Superior en Mecánica Industrial, Instituto Superior Tecnológico Tsa'chila, Santo Domingo 230109, Ecuador.ORCID 0009-0000-1060-4746
Alberto BruneteCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28012 Madrid, Spain.ORCID 0000-0001-9873-232X
Miguel HernandoCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28012 Madrid, Spain.ORCID 0000-0001-9997-0266
David ÁlvarezCentre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28012 Madrid, Spain.ORCID 0000-0003-2056-640X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate trajectory tracking remains a central challenge in differential-drive mobile robots (DDMRs), particularly when operating under real-world conditions. Model Predictive Control (MPC) provides a powerful framework for this task, but its performance degrades when the robot deviates significantly from the nominal path. To address this limitation, robust recovery mechanisms are required to ensure stable and precise tracking. This work presents an experimental validation of an MPC controller applied to a four-wheel DDMR, whose odometry is corrected by a SLAM algorithm running in ROS 2. The MPC is formulated as a quadratic program with state and input constraints on linear (

Indexed as

differential-drive robotModel Predictive Control (MPC)re-entry strategyrobust navigationtrajectory tracking

Identifiers

PMID41600318
PMCPMC12845739

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.