2022 | Computer Software | Early stage | Mexico | SDG3 | SDG4 | SDG5 | SDG8 | SDG9
A very economical object recognition system for service robots

Company or Institution

Biorobotics Laboratory, Universidad Nacional Autónoma de México


Computer Software





Sustainable Development Goals (SDGs)

SDG 3: Good Health and Well-being

SDG 4: Quality Education

SDG 5: Gender Equality

SDG 8: Decent Work and Economic Growth

SDG 9: Industry, Innovation and Infrastructure

General description of the AI solution

We present a very economical, and easy to train multiview object and view sequence recognition using classical AI techniques for service robots.


– L. Núñez, M. Negrete, J. Savage, L. Contreras-Toledo, M. Moctezuma, "Multiview Object and View Sequence Recognition using Hidden
Markov Models", delivered at the conference “IEEE 18th International Conference on Automation Science and Engineering (IEEE CASE2022),” (Mexico City on August 20-24, 2022).
– C. Sarmiento and J. Savage, “Comparison of two objects classification techniques using hidden markov models and convolutional neural
networks,” Informatics and Automation, vol. 19, pp. 1222–1254, Dec. 2020.
– Negrete, M., Savage, H., & Contreras-Toledo, L. E. (2018). Motion planning system for household service robot based on spatial representation and active navigation algorithms. SPIIRAS Proceedings , 5 (60), 5-38. https://doi.org/10.15622/sp.60.1



Public Exposure


International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana



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