Adding Manuel's paper.

README.md

@@ -30,10 +30,15 @@ Also, you can take a look at the [ATOM youtube playlist](https://www.youtube.com
 
 ## Support
 
-If this work is helpful for you please cite our papers:
+If this work is helpful for you please cite our paper:
 
   - Oliveira, M., E. Pedrosa, A. Aguiar, D. Rato, F. Santos, P. Dias, V. Santos, ATOM: A general calibration framework for multi-modal, multi-sensor systems, **Expert Systems with Applications (2022)**, 118000, ISSN 0957-4174, [https://doi.org/10.1016/j.eswa.2022.118000](https://doi.org/10.1016/j.eswa.2022.118000). [Bibtex](docs/bibtexs/Oliveira2022ESWA.bib).<br>
 
+or any other that is more adequate:
+
+
+  - Gomes, M. M. Oliveira, V. Santos, ATOM Calibration Framework: Interaction and Visualization Functionalities, **Sensors (2023)**, 23, 936. https://doi.org/10.3390/s23020936. [Bibtex](docs/bibtexs/GomesSensors2023.bib). <br>
+
   - Rato, D., M. Oliveira, V. Santos, M. Gomes, A. Sappa, A sensor-to-pattern calibration framework for multi-modal industrial collaborative cells,
 **Journal of Manufacturing Systems (2022)**, Volume 64, Pages 497-507, ISSN 0278-6125, [https://doi.org/10.1016/j.jmsy.2022.07.006](https://doi.org/10.1016/j.jmsy.2022.07.006). [Bibtex](docs/bibtexs/RatoJMS2022.bib). <br>
 
@@ -52,10 +57,10 @@ If this work is helpful for you please cite our papers:
 * Tiago Madeira - University of Aveiro
 * André Aguiar - INESC TEC
 * Daniela Rato - University of Aveiro
+* Manuel Gomes - University of Aveiro
 
 ## Maintainers
 
 * Miguel Riem Oliveira - University of Aveiro
-* Daniela Rato - University of Aveiro
 * Manuel Gomes - University of Aveiro
 

docs/bibtexs/Gomes2023Sensors.bib

@@ -0,0 +1,18 @@
+
+@Article{s23020936,
+AUTHOR = {Gomes, Manuel and Oliveira, Miguel and Santos, Vítor},
+TITLE = {ATOM Calibration Framework: Interaction and Visualization Functionalities},
+JOURNAL = {Sensors},
+VOLUME = {23},
+YEAR = {2023},
+NUMBER = {2},
+ARTICLE-NUMBER = {936},
+URL = {https://www.mdpi.com/1424-8220/23/2/936},
+PubMedID = {36679732},
+ISSN = {1424-8220},
+ABSTRACT = {Robotic systems are evolving to include a large number of sensors and diverse sensor modalities. In order to operate a system with multiple sensors, the geometric transformations between those sensors must be accurately estimated. The process by which these transformations are estimated is known as sensor calibration. Behind every sensor calibration approach is a formulation and a framework. The formulation is the method by which the transformations are estimated. The framework is the set of operations required to carry out the calibration procedure. This paper proposes a novel calibration framework that gives more flexibility, control and information to the user, enhancing the user interface and the user experience of calibrating a robotic system. The framework consists of several visualization and interaction functionalities useful for a calibration procedure, such as the estimation of the initial pose of the sensors, the data collection and labeling, the data review and correction and the visualization of the estimation of the extrinsic and intrinsic parameters. This framework is supported by the Atomic Transformations Optimization Method formulation, referred to as ATOM. Results show that this framework is applicable to various robotic systems with different configurations, number of sensors and sensor modalities. In addition to this, a survey comparing the frameworks of different calibration approaches shows that ATOM provides a very good user experience.},
+DOI = {10.3390/s23020936}
+}
+
+
+