Carlos A. Jara

Dr. Carlos A. Jara

University of Alicante, Alicante, Valencia, Spain
orcid
Head of Human Robotics group

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2011 in Computers & Education
Verified
Journal Article
Closed access
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
Francisco Andrés CandelasFrancisco Andrés Candelas
Francisco Andrés Candelas
SPSantiago Puente
Santiago Puente
Fernando TorresFernando Torres
Fernando Torres

31 January 2009 in Computers & Education
Verified
Journal Article
Closed access
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
Francisco Andrés CandelasFrancisco Andrés Candelas
Francisco Andrés Candelas
Fernando TorresFernando Torres
Fernando Torres
SDSebastian Dormido
Sebastian Dormido
FEFrancisco Esquembre
Francisco Esquembre
Oscar ReinosoOscar Reinoso
Oscar Reinoso

3 December 2010 in IEEE Transactions on Learning Technologies
Verified
Journal Article
Open access
HVH. Vargas
H. Vargas
José Sánchez-MorenoJosé Sánchez-Moreno
José Sánchez-Moreno
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
Francisco Andrés CandelasFrancisco Andrés Candelas
Francisco Andrés Candelas
Fernando TorresFernando Torres
Fernando Torres
JSJ. Snchez
J. Snchez
This article presents an innovative project in the context of remote experimentation applied to control engineering education. Specifically, the authors describe their experience regarding the analysis, design, development, and exploitation of web-based technologies within the scope of automatic control. This work is part of an inter-university project known as AutomatL@bs, in which seven Spanish universities joined efforts to share their experimentation resources across the Internet. The paper begins by providing a background of how the development of virtual and remote control labs with pedagogical perspectives should be addressed. In particular, we present examples of remote labs developed by two of the university groups taking part in AutomatL@bs. We then present the automatic booking system that manages the access of users to each laboratory's didactical setup. Next, we show the integration process of every component into a Learning Management System (LMS). Finally, an overall system assessment of the students' perception of the quality of the experimental environment as a learning tool is analyzed.

31 March 2014 in Sensors
Verified
Journal Article
Open access
PDF file
GGGabriel J. García
Gabriel J. García
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
Jorge PomaresJorge Pomares
Jorge Pomares
AAAiman Alabdo
Aiman Alabdo
LPLucas M. Poggi
Lucas M. Poggi
Fernando TorresFernando Torres
Fernando Torres
The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.

4 June 2013 in IEEE Transactions on Learning Technologies
Verified
Journal Article
Open access
Luis de la TorreLuis de la Torre
Luis de la Torre
RHRuben Heradio
Ruben Heradio
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
José Sánchez-MorenoJosé Sánchez-Moreno
José Sánchez-Moreno
SDSebastian Dormido
Sebastian Dormido
Francisco Andrés CandelasFrancisco Andrés Candelas
Francisco Andrés Candelas
Virtual and remote laboratories (VRLs) are e-learning resources that enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit the knowledge and experience from the teacher to students, overcoming physical distance and isolation. This paper describes the extension of two open source tools: (1) the learning management system Moodle, and (2) the tool to create VRLs Easy Java Simulations (EJS). Our extension provides: (1) synchronous collaborative support to any VRL developed with EJS (i.e., any existing VRL written in EJS can be automatically converted into a collaborative lab with no cost), and (2) support to deploy synchronous collaborative VRLs into Moodle. Using our approach students and/or teachers can invite other users enrolled in a Moodle course to a real-time collaborative experimental session, sharing and/or supervising experiences at the same time they practice and explore experiments using VRLs.

21 January 2014 in Sensors
Verified
Journal Article
Open access
PDF file
Carlos A. JaraCarlos A. Jara
Carlos A. Jara
Jorge PomaresJorge Pomares
Jorge Pomares
Francisco Andrés CandelasFrancisco Andrés Candelas
Francisco Andrés Candelas
Fernando TorresFernando Torres
Fernando Torres
Tactile sensors play an important role in robotics manipulation to perform dexterous and complex tasks. This paper presents a novel control framework to perform dexterous manipulation with multi-fingered robotic hands using feedback data from tactile and visual sensors. This control framework permits the definition of new visual controllers which allow the path tracking of the object motion taking into account both the dynamics model of the robot hand and the grasping force of the fingertips under a hybrid control scheme. In addition, the proposed general method employs optimal control to obtain the desired behaviour in the joint space of the fingers based on an indicated cost function which determines how the control effort is distributed over the joints of the robotic hand. Finally, authors show experimental verifications on a real robotic manipulation system for some of the controllers derived from the control framework.