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Aleksandra Faust

Alumna

Tapia Lab - Department of Computer Science

Mailing address:

Mail stop: MSC01 1100
1 University of New Mexico
University of New Mexico
Albuquerque, NM 87131-0001 USA

Website:

http://www.cs.unm.edu/amprg/People/afaust/

Contact:

E-Mail:
Office: 349B Farris
Phone: 505.688.5011
Fax: 505.277.6927

Aleksandra Faust is currently a Senior Computer Science R&D Engineer at Sandia National Laboratories in Albuquerque, New Mexico. She earned a Ph.D. in Computer Science (with distinction) at the University of New Mexico under advisement of Prof. Lydia Tapia, a Masters of Computer Science from University of Illinois at Urbana-Champaign, and a Bachelors in Mathematics from University of Belgrade, Serbia. Her research interests include adaptive planning algorithms for decision making and motion planning, machine learning techniques for solving complex tasks, reinforcement learning, and learning transfer, adaptation and reuse. She was awarded Sandia National Laboratories Doctoral Studies Program and New Mexico Space Grant fellowships, an Outstanding graduate student in Computer Science award.

CV:   pdf






Publications

  • Hao-Tien (Lewis) Chiang, Aleksandra Faust, Lydia Tapia, "Deep Neural Networks for Swept Volume Prediction Between Configurations", In Proceedings of the Third Workshop on Machine Learning in Planning and Control of Robot Motion Workshop (MLPC 18), IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May. 2018.(pdf)

  • Aleksandra Faust, Nick Malone, Lydia Tapia, "Planning Preference-balancing Motions with Stochastic Disturbances", Machine Learning in Planning and Control of Robot Motion Workshop at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, IL, U.S.A., Sep. 2014.
    (pdf, BibTex, abstract)

  • Nick Malone, Aleksandra Faust, Brandon Rohrer, Ron Lumia, John Wood, Lydia Tapia, "Efficient Motion-based Task Learning for a Serial Link Manipulator", In Transactions on Control and Mechanical Systems, 3(1), Jan. 2014. (pdf, Bibtex)

  • Rafael Figueroa, Aleksandra Faust, Patricio Cruz, Lydia Tapia, Rafael Fierro, "Reinforcement Learning for Balancing a Flying Inverted Pendulum", In Proc. The 11th World Congress on Intelligent Control and Automation (WCICA), pp. 3555-3562, Shenyang, China, July 2014.
    (pdf, BibTex, abstract, Video)

  • Aleksandra Faust, Peter Ruymgaart, Molly Salman, Rafael Fierro, Lydia Tapia, "Continuous Action Reinforcement Learning for Control-Affine Systems with Unknown Dynamics", Acta Automatica Sinica Special Issue of Extensions of Reinforcement Learning and Adaptive Control, 1(3) pp. 323-336, July 2014. Also, Technical Report TR13-002, Department of Computer Science, University of New Mexico, June 2014.
    (pdf, BibTex, abstract, Video) Technical Report( pdf)

  • Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia, "Aerial Suspended Cargo Delivery through Reinforcement Learning", Artifical Intelligence Journal 247 Special Issue on Leaning and Robotics, pp. 381-398, June 2015. Also, Technical Report TR13-001, Department of Computer Science, University of New Mexico, Aug. 2013.
    (pdf, abstract, Video)

  • Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia, "Learning Swing-free Trajectories for UAVs with a Suspended Load," IEEE International Conference on Robotics and Automation (ICRA), pp. 4887-4894, Karlsruhe, Germany, May 2013.
    (pdf, BibTex, abstract, Video, Matlab source code, presentation)

  • Ivana Palunko, Aleksandra Faust, Patricio Cruz, Lydia Tapia, Rafael Fierro, "A Reinforcement Learning Approach to Suspended Load Manipulation with Aerial Robots," IEEE International Conference on Robotics and Automation (ICRA), pp. 4881-4886, Karlsruhe, Germany, May 2013.
    (pdf, BibTex, abstract)

  • Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia, "Learning Swing-free Trajectories for UAVs with a Suspended Load in Obstacle-free Environments", Autonomous Learning workshop at IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 2013. (pdf)

  • Nick Malone, Aleksandra Faust, Brandon Rohrer, John Wood, Lydia Tapia, "Efficient Motion-based Task Learning," Robot Motion Planning Workshop, In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, Oct. 2012.
    (pdf, BibTex, abstract, presentation)