Alvaro Soto

Alvaro Soto Arriaza

Profesor Asociado
Departamento de Ciencia de la Computación
Escuela de Ingeniería
Pontificia Universidad Católica de Chile
Teléfono: 354-4440

Sitio Web Personal

Research interests

As the state of the art of computing technology advances, computer-based machines are starting to perform  new tasks in less structured and less predictable environments. Possible scenarios include autonomous robots able to operate in natural environments or pro-active computer programs designed for automatic knowledge extraction from data. My research goal is to collaborate in the development of theory and algorithms that facilitates the creation of these adaptive or "intelligent" machines.  


  • R. Mitnik, M. Nussbaum, and A. Soto (2008) An Autonomous Mobile Robot Mediator. In Autonomous Robots, in print, Published online at .
  • P. Espinace, D. Langdon and A. Soto (2008) Unsupervised Identification of Useful Visual Landmarks Using Multiple Segmentations and Top-Down Feedback. In Robotics and Autonomous Systems, vol. 56, Nº 6, pp. 538-548.
  • A. Cansado and A. Soto (2008) Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks. In Applied Artificial Intelligence, vol. 22, issue 4, pp. 309-330.
  • A. Araneda, S. Fienberg and A. Soto (2007) A Statistical Approach to Simultaneous Mapping and Localization for Mobile Robots.  In The Annals of Applied Statistics, vol. 1, Nº 1, pp. 66-84.
  • J. Urtubia, R. Pérez-Correa, A. Soto, and P. Pszczólkowski (2007) Using Data Mining Techniques to Predict Industrial Wine Problem Fermentations. In Food Control 18, pp. 1512-1517.
  • A. Soto, F. Zavala, and A. Araneda (2007) An Accelerated Algorithm for Density Estimation in Large Databases, Using Gaussian Mixtures. In Cybernetics and Systens: An International Journal, 38:1-17.
  • D. Langdon, A. Soto, and D. Mery (2006) Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations. In Lecture Notes in Computer Science, LNCS 4319:601-610.
  • A. Soto, P. Espinace, and R. Mitnik (2006) A Mobile Robotics Course for Undergraduate Students in Computer Science. In IEEE Latin American Robotics Symposium, Chile.
  • Araneda and A. Soto (2005) Important Sampling in Mapping and Localization by a Mobile Robot. In Workshop on Case Studies of Bayesian Statistics, USA.
  • A. Soto (2005) Self Adaptive Particle Filter. In International Join Conference on Artificial Intelligence (IJCAI 2005).
  • A. Araneda and A. Soto (2004) Statistical Inference in Mapping and Localization for Mobile Robots. In Lectures Notes in Artificial Intelligence, LNAI 3315, pp. 545-554, 2004.
  • R. Mitnik, M. Nussbaum, and A. Soto (2004)  Mobile Robotic Supported Collaborative Learning (MRSCL). In Lectures Notes in Artificial Intelligence, LNAI 3315, pp. 912-921.
  • A. Soto, A. Cansado, and F. Zavala (2004) Detection of Rare Objects in Massive Astrophysical Data Sets Using Innovative Knowledge Discovery Technology. In Astronomical Data Analysis Software & Systems Conf. Series, ADASS 2004.
  • A. Soto (2004)  A Method to Adaptively Propagate the Set of Samples Used by Particle Filters. In Lectures Notes in Artificial Intelligence, LNAI 3040, pp. 47-56.
  • A. Soto and P. Khosla (2003) Sequential Monte Carlo Methods for the Creation of Adaptive Software. In 3th Int. Workshop on Self-adaptive Software, Arlington, Va, USA, June.
  • A. Soto and P. Khosla (2003) A Probabilistic Approach for Dynamic State Estimation Using Visual Information. In Lectures Notes in Artificial Intelligence, Springer-Verlag LNCS 2821, pp. 421-435.
  • A. Soto (2002) A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework. Carnegie Mellon University, Tech Report CMU-RI-TR-02-30, September.
  • A. Soto and P. Khosla (2003) Adaptive Agent Based System for State Estimation Using Dynamic Multidimentional Information Sources. Self-Adaptive Software, Eds. R. Laddaga, P. Robertson, and H. Shrobe, In Lectures Notes in Computer Science, LNCS 2614, pp. 66-83.
  • A. Soto and P. Khosla (2002) Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues. ARS Advanced Robotics Series. Eds. Alexander Zelinsky and Bruno Siciliano, Springer Verlag.
  • M. Saptharishi, K. Bhat, C. Diehl, S. Oliver, M. Savvides, A. Soto, J. Dolan, and P. Khosla (2000) Recent Advances in Distributed Tactical Surveillance. SPIE on Unattended Ground Sensor Technologies and Applications, Aerosense 2000, Orlando, Florida, USA, April.
  • A. Soto, M. Saptharishi, J. Dolan, A. Trebi-Ollennu, and P. Khosla, CyberATVs (1999) Dynamic and Distributed Reconnaissance and Surveillance Using All Terrain UGVs. Proceedings of the International Conference on Field and Service Robotics, Pittsburgh, Pennsylvania, USA, August.
  • I. Nourbakhsh, J. Bobenage, S. Grange, R. Lutz, R. Meyer and A. Soto (1999) An Effective Mobile Robot Educator with a Full-Time Job. In Artificial Intelligence, 114 (1-2), pp. 95-124. October.
  • J. Dolan, A. Trebi-Ollennu, A. Soto, and P. Khosla (1999) Distributed Tactical Surveillance with ATVs. Proceedings of SPIE, Vol. 3693, AeroSense, Orlando, Florida, USA, April.
  • A. Soto and I. Nourbakhsh (1998) A Scenario for Planning Visual Navigation of a Mobile Robot. In American Association for Artificial Intelligence (AAAI), 1998 Fall Symposium Series, Orlando, Florida, USA, October.
  • A. Cipriano, M. Guarini, R. Vidal, A. Soto, C. Sepúlveda, D. Mery and H. Briseño (1998) A Real Time Visual Sensor for Supervision of Flotations Cells. In Minerals Engineering, 11(6):489-499.
  • A. Cipriano, M. Guarini, A. Soto, H. Briseño and D. Mery (1997) Expert supervision of flotation cells using digital image processing. In Proceedings of the 20th International Mineral Processing Congress, pp.281-292, Aachen, Germany, September 21-26.
  • A. Soto and A. Cipriano (1996) Image processing applied to real time measurement of traffic flow. In Proceedings of the 28th Southeastern Symposium on System Theory, Baton Rouge, Louisiana, USA, April.
  • M. Guarini, A. Soto, A. Cipriano, A. Guesalaga, and J. Cáceres (1995) Measurement of physical characteristics of foam in flotation cells. In Proceedings of the International Conference: Copper 95, Santiago, Chile, November.

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