Papers
13
Total Citations
204
H-Index
6
About
E. Jauregi is a leading researcher at the intersection of computer vision, robotics, and human-robot interaction, with a particular focus on enabling robots to perceive, navigate, and interact intelligently with their environments. Their most influential work, the 2019 survey "Video Activity Recognition: State-of-the-Art" (86 citations), provides a comprehensive foundation for understanding how machines can interpret human actions from video—a critical capability for surveillance, autonomous navigation, and assistive robotics. Jauregi’s contributions extend to practical robotic systems, including the development of ROS-based teleoperation packages for the NAO robot (33 citations), which allow speech and gesture control in Basque, and the "Bertsobot" project (11 citations), a pioneering robot that composes and performs traditional Basque improvised poetry. More recently, their 2022 benchmarking study on object detection deep learning models in embedded devices (26 citations) addresses the crucial challenge of deploying high-accuracy vision systems on resource-constrained hardware. Jauregi has also advanced multi-robot collaboration with the GidaBot system, enabling heterogeneous robots to serve as tour guides in multi-floor environments. This diverse body of work, spanning from foundational surveys to creative robotic applications, demonstrates a sustained commitment to making robots more perceptive, interactive, and culturally aware.
Research Focus
Key Achievements
Top Papers
- 1Video Activity Recognition: State-of-the-Art86 citations · 2019
- 2Humanizing NAO robot teleoperation using ROS33 citations · 2014
- 3Benchmarking Object Detection Deep Learning Models in Embedded Devices26 citations · 2022
- 4
- 5Bertsobot: The first minstrel robot11 citations · 2013
- 6Textual Coherence in a Verse-Maker Robot6 citations · 2014
- 7
- 8Loop-closing: A typicality approach5 citations · 2010
- 9
- 10DOOR HANDLE IDENTIFICATION: A THREE-STAGE APPROACH4 citations · 2007