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Juan Jesús Roldán

Researcher at Technical University of Madrid

Publications -  30
Citations -  816

Juan Jesús Roldán is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Situation awareness & Robot. The author has an hindex of 12, co-authored 27 publications receiving 540 citations. Previous affiliations of Juan Jesús Roldán include Spanish National Research Council.

Papers
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Journal ArticleDOI

Mini-UAV Based Sensory System for Measuring Environmental Variables in Greenhouses

TL;DR: The primary contributions of this paper are the validation of the quadrotor as a platform for measuring environmental variables and the determination of the optimal location of sensors on a Quadrotor.
Journal ArticleDOI

A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining

TL;DR: The results show that the proposed training system, based on process mining and virtual reality, is competitive against conventional alternatives and user evaluations are better in terms of mental demand, perception, learning, results, and performance.
Journal ArticleDOI

Heterogeneous Multi-Robot System for Mapping Environmental Variables of Greenhouses

TL;DR: This work addresses some relevant challenges of multi-robot sensory systems, such as the mission planning and task allocation, the guidance, navigation and control of robots in greenhouses and the coordination among ground and aerial vehicles.
Book ChapterDOI

Robots in Agriculture: State of Art and Practical Experiences

TL;DR: The work addresses the disciplines that lead the automation of agriculture, such as precision agriculture and greenhouse farming, and collects the proposals for automatizing tasks like planting and harvesting, environ‐ mental monitoring and crop inspection and treatment.
Book ChapterDOI

Multi-robot Systems, Virtual Reality and ROS: Developing a New Generation of Operator Interfaces

TL;DR: This chapter describes a series of works developed in order to integrate ROS-based robots with Unity-based virtual reality interfaces to develop immersive monitoring and commanding interfaces, able to improve the operator’s situational awareness without increasing its workload.