Knowledge Inference

Since 2007 we have implemented different processes for inferring knowledge in real robots. The two main lines of research in this topic are semantic maps and sensor recovery. In the former, we have included semantic information into robotic operations such as task planning and navigation in order to perform more efficiently (by reducing computational cost through the guidance of semantics) and more robustly (by inferring knowledge from semantics that complements the current knowledge of the robot to carry out its operations). In the latter, we have used Bayesian inference to detect anomalies of robot sensors and recover (infer) their correct behaviour.

Semantic Maps

In 2005 we started our first line of work on knowledge inference in robotics: the use of semantic information (in the form of semantic maps) for improving some robotic tasks and also to infer knowledge that the robot can use to perform better:

Journals (9)

2026

M. Decena-Giménez, P. Ojeda, J.R. Ruiz-Sarmiento, J. Gonzalez-Jimenez

Open-Vocabulary Instance Segmentation for Scene Understanding in Mobile Robots

MDPI Robotics, vol. 15, iss. 9, 2026. Q2 · T2

2022

J.L. Matez-Bandera, J. Monroy, J. Gonzalez-Jimenez

Sigma-FP: Robot Mapping of 3D Floor Plans with an RGB-D Camera under Uncertainty

IEEE Robotics and Automation Letters, 2022. Q2 · T2

J.L. Matez-Bandera, D. Fernandez-Chaves, J.R. Ruiz-Sarmiento, J. Monroy, N. Petkov, J. Gonzalez-Jimenez

LTC-Mapping, Enhancing Long-term Consistency of Object-oriented Semantic Maps in Robotics

MDPI Sensors, vol. 22, no. 14, 2022, ISSN: 1424-8220. Q2 · T2

2021

J.L. Matez-Bandera, J. Monroy, J. Gonzalez-Jimenez

Efficient semantic place categorization by a robot through active line-of-sight selection

Knowledge-Based Systems, vol. 240, 2021, ISSN: 0950-7051. Q1 · T1

2017

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

A survey on learning approaches for Undirected Graphical Models. Application to scene object recognition

International Journal of Approximate Reasoning, vol. 83, pp. 434-451, 2017. Q2 · T2

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Building Multiversal Semantic Maps for Mobile Robot Operation

Knowledege-Based Systems, vol. 119, pp. 257-272, 2017. Q1 · T1

2015

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Exploiting Semantic Knowledge for Robot Object Recognition

Knowledge-Based Systems, vol. 86, pp. 131–142, 2015. Q1 · T1

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Scene Object Recognition for Mobile Robots Through Semantic Knowledge and Probabilistic Graphical Models

Expert Systems with Applications, vol. 42, no. 22, pp. 8805–8816, 2015. Q1 · T1

2013

C. Galindo, A. Saffiotti

Inferring Robot Goals from Violations of Semantic Knowledge

Robotics and Autonomous Systems, vol. 61, no. 10, pp. 1131-1143, 2013. Q3 · T2

Book Chapters (1)

2016

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Probability and Common-Sense: Tandem Towards Robust Robotic Object Recognition in Ambient Assisted Living

10th International Conference on Ubiquitous Computing and Ambient Intelligence, vol. 10070, Springer, 2016, ISBN: 978-3-319-48798-4.

Conferences (8)

2015

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Joint Categorization of Objects and Rooms for Mobile Robots

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

OLT: A Toolkit for Object Labeling Applied to Robotic RGB-D Datasets

European Conference on Mobile Robots, Lincoln, UK, 2015.

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

UPGMpp: a Software Library for Contextual Object Recognition

3rd. Workshop on Recognition and Action for Scene Understanding (REACTS), 2015.

2014

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Mobile Robot Object Recognition through the Synergy of Probabilistic Graphical Models and Semantic Knowledge

European Conf. on Artificial Intelligence. Workshop on Cognitive Robotics, 2014.

2012

C. Galindo, A. Saffiotti

Semantic Norms for Mobile Robots: When the end does not justify the means

10th International IFAC Symposium on Robot Control, Dubrovnik, 2012.

2011

C. Galindo, J. Gonzalez-Jimenez, J.A. Fernández-Madrigal, A. Saffiotti

Robots that change their world: Inferring Goals from Semantic Knowledge

European Conference on Mobile Robotics, Örebro (Sweden), 2011.

2007

C. Galindo, J.A. Fernández-Madrigal, J. Gonzalez-Jimenez, A. Saffiotti

Using Semantic Information for Improving Efficiency of Robot Task Planning

Workshop on "Semantic Information in Robotics", in IEEE ICRA'07, Rome (Italy), 2007.

2005

C. Galindo, A. Saffiotti, S. Coradeschi, P. Buschka, J.A. Fernández-Madrigal, J. Gonzalez-Jimenez

Multihierarchical Semantic Maps for Mobile Robotics

IEEE International Conference on Intelligent Robots and Systems (IROS'2005), Edmonton (Canada), 2005.

National conferences (1)

2026

J. Serrano-Mesa, J. Moncada-Ramirez, P. Ojeda, G. Ambrosio, J.R. Ruiz-Sarmiento, J. Gonzalez-Jimenez

Mapeo semántico de vocabulario abierto mediante 3D Gaussian Splatting

Jornadas de Automática CEA, Córdoba, 2026.

PhD Theses (2)

2025

J.L. Matez-Bandera, J. Monroy, J. Gonzalez-Jimenez

Advances in Indoor Semantic Mapping for Mobile Robotics

Universidad de Málaga, 2025.

2016

J.R. Ruiz-Sarmiento, C. Galindo, J. Gonzalez-Jimenez

Probabilistic Techniques in Semantic Mapping for Mobile Robotics

University of Málaga, 2016.

Technical Reports (1)

2007

J.A. Fernández-Madrigal, C. Galindo, J. Gonzalez-Jimenez

The Use of Semantics in a Classical Task Planning Framework for a Physical Agent

System Engineering and Automation Dpt - University of Málaga (Spain) 2007.

Anomaly Detection and Recovery in Robot Sensors

In 2016 we started another line of work on knowledge inference for real robots, and, in particular, in applying this process (in the its form of probabilistic deductions through Bayesian networks) to low-level robotic processes such as anomaly detection and recovery in robotic sensors:

Journals (3)

2023

M. Castellano Quero, M. Castillo-López, J.A. Fernández-Madrigal, V. Arevalo-Espejo, H. Voos, A. García-Cerezo

A Multidimensional Bayesian Architecture for Real-Time Anomaly Detection and Recovery in Mobile Robot Sensory Systems

Engineering Applications of Artificial Intelligence, vol. 125, pp. 106673, 2023. Q1 · T1

2021

M. Castellano Quero, J.A. Fernández-Madrigal, A. García-Cerezo

Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots

Expert Systems With Applications, vol. 163, 2021. Q1 · T1

2020

M. Castellano Quero, J.A. Fernández-Madrigal, A. García-Cerezo

Statistical Study of the Performance of Recursive Bayesian Filters with Abnormal Observations from Range Sensors

MDPI Sensors, vol. 20, no. 15, pp. 4159, 2020. Q1 · T1

Conferences (1)

2019

M. Castellano Quero, J.A. Fernández-Madrigal, A. García-Cerezo

Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot

ROBOT'2019: Fourth Iberian Robotics Conference, School of Engineering, Porto Polytechnic, ISEP Porto (Portugal), 2019.

National conferences (2)

2018

M. Castellano Quero, J.A. Fernández-Madrigal, A. García-Cerezo

Hacia la diagnosis y recuperación de sensores robóticos a bajo nivel mediante inferencia bayesiana

XXXIX Jornadas de Automática, Badajoz (Spain), 2018.

M. Castellano Quero, J.A. Fernández-Madrigal, A. García-Cerezo

Interactive Construction of Bayesian Inference Networks for Robust Robot Sensorics

XIV Simposio CEA de Control Inteligente (SCI 2018), Málaga (Spain), 2018.

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