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researcher

Francisco Cruz

4 papers hereh-index 6155 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.AI1
  • cs.CV1
same name
  • Francisco Cruz — 13 papers, h 19
  • Francisco Cruz — 4 papers, h 0
  • Francisco Cruz — 3 papers, h 2
  • Francisco Cruz — 2 papers
  • Francisco Cruz — 2 papers
  • Francisco Cruz — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedUnmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition

27 citations · 28 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2026

Self-Predictive Representation for Autonomous UAV Object-Goal Navigation

Angel Ayala, Donling Sui, Francisco Cruz +3

Autonomous Unmanned Aerial Vehicles (UAVs) have revolutionized industries through their versatility with applications including aerial surveillance, search and rescue, agriculture,…

cs.AI2022★ 1 cited

Reinforcement Learning for UAV control with Policy and Reward Shaping

Cristian Millán-Arias, Ruben Contreras, Francisco Cruz +1

In recent years, unmanned aerial vehicle (UAV) related technology has expanded knowledge in the area, bringing to light new problems and challenges that require solutions. Furtherm…

cs.RO2020★ 27 cited

Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition

Ruben Contreras, Angel Ayala, Francisco Cruz

Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and reaching out to many areas of society, including the industrialized world. A common altern…

cs.CV2020

KutralNet: A Portable Deep Learning Model for Fire Recognition

Angel Ayala, Bruno Fernandes, Francisco Cruz +3

Most of the automatic fire alarm systems detect the fire presence through sensors like thermal, smoke, or flame. One of the new approaches to the problem is the use of images to pe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.