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Personal profile

Research interests

I have diverse research interests in the general areas of robotics, autonomous systems and machine learning, with particular interest in:

  • Tactile and vision perception for autonomous robotics
  • Learning and sensorimotor control in autonomous robotics
  • Multimodal human-robot interaction and collaboration
  • Intent recognition for wearable assistive robotics
  • Wearable robots for telepresence and telecontrol

Willing to supervise PhD

Uriel is able to supervise PhD students willing to do research on the field of robotics, touch, vision, machine learning and their intersection for application on robot perception and learning, human-robot interaction, assistive and rehabilitation robotics and telepresence. Interested candidates should contact Uriel for more details about potential research project.

Education/Academic qualification

Robotics and active tactile perception, Doctor of Philosophy, University of Sheffield

20 Jan 201130 Jul 2014

Computer Science, Master of Science, National Polytechnic Institute

15 Aug 200631 Jul 2008

Communications and Electronics Engineering, Bachelor of Engineering, National Polytechnic Institute

15 Aug 200030 Aug 2005

External positions

Visiting researcher, Sheffield Robotics Laboratory

1 Jan 2016 → …

Visitor researcher, University of Sheffield

1 Jan 2016 → …

Keywords

  • Robotics
  • Human-Robot Interaction
  • Tactile perception
  • Multimodal wearable robots
  • Assistive robotics
  • Machine learning

Fingerprint Dive into the research topics where Uriel Martinez Hernandez is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 2009 2020

6 Downloads (Pure)

Active visual object exploration and recognition with an unmanned aerial vehicle

Martinez Hernandez, U., Cedeno-Campos, V. & Rubio-Solis, A., 30 Sep 2019, International Joint Conference on Neural Networks (IJCNN). U. S. A.: IEEE, 7 p. 8851738. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

A Motion Control System to Use Robots at up to 100 Times the Earth’s Gravity

Cedeno-Campos, V. M., Martinez-Hernandez, U. & Solis, A. R., 27 Sep 2019, Mechanisms and Machine Science. Kuo, C. H., Lin, P. C., Essomba, T. & Chen, G. C. (eds.). Springer Netherlands, p. 334-345 12 p. (Mechanisms and Machine Science; vol. 78).

Research output: Chapter in Book/Report/Conference proceedingChapter

A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the Recognition of Walking Activities and Gait Events using Wearable Sensors

Solis, A. R., Panoutsos, G., Beltran-Perez, C. & Martinez Hernandez, U., 30 Nov 2019, (Accepted/In press) In : Neurocomputing.

Research output: Contribution to journalArticle

A practical gait feedback method based on wearable inertial sensors for a drop foot assistance device

Meng, L., Martinez Hernandez, U., Childs, C., Dehghani-Sanij, A. A. & Buis, A., 2 Sep 2019, In : IEEE Sensors Journal. p. 1-9 9 p.

Research output: Contribution to journalArticle

Evaluation of Gait Transitional phases using Neuromechanical outputs and somatosensory inputs in an Overground walk

Mahmood, I., Martinez Hernandez, U. & Dehghani-Sanij, A. A., 14 Nov 2019, (Accepted/In press) In : Human Movement Science. 25 p.

Research output: Contribution to journalArticle