Hamed Shahbazi |Robotics| Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr. Hamed Shahbazi |Robotics| Best Researcher Award

Assistant Professor,University of Isfahan, Iran

Dr. Hamed Shahbazi is an Assistant Professor at the University of Isfahan, Iran, where he is involved in the Department of Computer Engineering. His academic focus includes topics in artificial intelligence, robotics, and decision-making systems. He has published several research papers on these subjects and has contributed to advancements in fields such as fuzzy logic, neural networks, and fire safety management in disaster environments

Summary:

Hamed Shahbazi demonstrates exceptional academic, research, and professional accomplishments in AI and robotics. His innovative contributions, leadership in competitions, and industry consultancy showcase his multifaceted expertise. He is a well-rounded candidate with a proven ability to bridge theoretical and applied AI.

 

Professional Profiles:

Scopus

🎓 Education :

PhD in Computer Aided Design In Mechanical Engineering & Robotics (2013), University of Isfahan, Iran,Minor in Intelligent Control,Dissertation: Curvilinear Biped Locomotion in Humanoid Robots using Central Pattern Generators
Ranked 1st among 5 student,M.Sc. in Computer Aided Design In Mechanical Engineering (2009), University of Isfahan, Iran,Minor in Intelligent Networks,Dissertation: Intelligent power-aware routing in wireless sensor networks using Swarm Intelligence and Neural Network methods,Ranked 1st among 10 student,B.S. in Computer Science & Engineering (2007), University of Isfahan, Iran,Minor in Hardware Engineering,Dissertation: Decision making Structures in Robotic Rescue Agents,Ranked 1st among 50 students

 

🏢 Experience:

AI Developer, Robotics and AI Research Center, University of Isfahan (2010–Present),Head of the Robotic Association at University of Isfahan,Leader of the BraveCircles RoboCup Rescue Simulation Team (2010)
Member of various RoboCup teams from 2004–200,Assistant Professor, Mechatronic Engineering Department, University of Isfahan (2009–2010),Faculty member and head of office for commercialization of research,Head of Scientific Associations of Students,AI Designer & Developer, Unitech (2019–Present),Co-founder of Mobin Fanavaran Jey (Unitech),Head of the software department,AI Consultant, Various Industries (2012–Present),Consultant for Isfahan Oil Refining Company, Isfahan Mobarakeh Steel Company, and Snowa Home Appliances,Lecturer, AI and Computer Science (2006–2015),Lectured at Sheykhbahaee University and Islamic Azad University of Majlesi

🛠️Skills:

Expertise in Prolog, C++, Matlab, Java, Python, and machine learning,Familiar with XML, JSON, SOAP, REST protocols and APIs,Proficient with MySQL, Microsoft SQL databases, and tools like SimScape, Webots, Weka

 

🔬Awards:

Several first and second-place awards in RoboCup Rescue Simulation Leagues (2005–2011),Silver and Bronze Medals in the Iranian National Student Olympiad in Computer Engineering (2006, 2007),Best Student Awards at University of Isfahan in various disciplines (2006–2008)

 

Conclusion:

Mr. Hamed Shahbazi is highly suitable for the Best Researcher Award. His blend of academic excellence, leadership, and industry relevance makes him a compelling nominee. Strengthening his global publication profile and engaging in international collaborations could elevate his candidacy even further.

 Publications:

  • Locating delamination in a composite laminate using machine learning and recurrent deep neural networks based on vibration response
    Authors: Jahanshahi, M., Shahbazi, H., Heidari-Rarani, M.
    Journal: Structures, 2024, Vol. 70, Article 107823.
    Citations: 0

 

  • Layered learning in a quadrotor drone: Simultaneous controlling and path planning using optimal fuzzy fractional-order PID and proximal policy optimization
    Authors: Shahbazi, H., Tikani, V., Fatahi, R.
    Journal: Engineering Applications of Computer Aided Design In Mechanical Engineering, 2024, Vol. 136, Article 108926.
    Citations: 0

 

  • Design and programming of a robotic puppetry robot based on natural learner unit pattern generators neural networks
    Authors: Shahbazi, H., Khodabandeh, B., Amirkhani, M., Monadjemi, A.H.
    Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024, Vol. 46(9), Article 561.
    Citations: 0

 

  • Designing a reinforcement learning-based robust controller resisting external forces for an octarotor with new structure
    Authors: Sharifi, D., Torabi, K., Rahaghi, M.I., Shahbazi, H.
    Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, Vol. 45(3), Article 141.
    Citations: 0

 

  • Efficient deep steering control method for self-driving cars through feature density metric
    Authors: Mohammadi, A., Jamshidi, K., Shahbazi, H., Rezaei, M.
    Journal: Neurocomputing, 2023, Vol. 515, pp. 107–120.
    Citations: 4

 

  • Moderating Effects of Demographics on Green Information System Adoption
    Authors: Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M.
    Journal: International Journal of Innovation and Technology Management, 2019, Vol. 16(1), Article 1950008.
    Citations: 10

 

  • The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: An extension of the technology acceptance model
    Authors: Leong, L.W., Ibrahim, O., Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M.
    Journal: Education and Information Technologies, 2018, Vol. 23(6), pp. 2477–2498.
    Citations: 48

 

  • Factors influencing beliefs formation towards the adoption of social commerce in SME travel agencies
    Authors: Dalvi-Esfahani, M., Shahbazi, H., Nilashi, M., Mardani, A., Streimikiene, D.
    Journal: Economics and Sociology, 2018, Vol. 11(3), pp. 207–225.
    Citations: 8

 

  • Demonstration learning of robotic skills using repeated suggestions learning algorithm
    Authors: Shahbazi, H., Arshi, M.A., Jamshidi, K., Khodabandeh, B.
    Journal: Biologically Inspired Cognitive Architectures, 2017, Vol. 20, pp. 21–30.
    Citations: 3

 

  • Mechatronic design and construction of a five axes satellite simulator
    Authors: Rasouli, K., Shahbazi, H., Ariaei, A., Malekzadeh, M.
    Conference: 4th RSI International Conference on Robotics and Mechatronics (ICRoM), 2016, pp. 210–215.
    Citations: 1

 

Ahmed Abdelrahman |3D printing | Young Scientist Award

Posted on by 21b4bddf87157652317827146367558f

Mr.Ahmed Abdelrahman |3D printing | Young Scientist Award

Mr, Ahmed Abdelrahman,University of Alberta, Canada.

Ahmed Abdelrahman is a distinguished researcher and academic currently affiliated with the University of Alberta, Canada. His expertise lies in cutting-edge fields such as material science and engineering, where he has made significant contributions to research and innovation. Ahmed is known for his work on advanced materials, sustainability, and renewable energy technologies. With a strong academic background and numerous publications in high-impact journals, he is actively involved in shaping the future of engineering and technology through both teaching and research.

Summary:

Ahmed Abdelrahman possesses an impressive combination of academic achievements, research experience, and practical skills that align well with the expectations for the Research for Young Scientist Award. His work in additive manufacturing, mechanical design, and production engineering demonstrates a forward-thinking approach to mechanical engineering problems, which is further supported by his competitive accolades. His teaching and assistant lecturer roles also highlight his leadership in academia.

 

Professional Profiles:

Google Scholar

🎓 Education :

Ahmed Moustafa Abdelnabi holds an M.Sc. in Mechanical Engineering from the Faculty of Engineering, Minia University, Egypt, completed in March 2022. His thesis focused on the “Durability Investigation of Spur Gears Fabricated Using 3D Printing,” and the research was partially funded by Minia University. He also earned a B.Sc. in Mechanical Engineering (Production Engineering and Mechanical Design) from the same institution in 2019, graduating with honors (91.12%) and ranking first among the 2019 cohort. His graduation project, “Design and Manufacturing Multi-Purpose Fixture for Shear and Bending Tests,” received an excellent evaluation and is currently patent pending. This project was fully funded by The Academy of Scientific Research & Technology (ASRT).

🏢 Experience:

Ahmed has been serving as an Assistant Lecturer in the Production Engineering and Mechanical Design Department at Minia University since May 2022. From 2019 to 2022, he worked as a Demonstrator (Teaching Assistant) in the same department, where he provided academic support and contributed to the education of students in various courses.

🛠️Skills:

Ahmed has developed a wide range of technical skills, including:,Computer-Aided Design (CAD) and Engineering: Proficient in AutoCAD Mechanical 2D, SolidWorks, ANSYS, and ABAQUS, as well as optical imaging tools.,Computer-Aided Manufacturing (CAM): Expertise in software such as Ultimaker Cura, CNC Siemens Simulation, PRUSA Slicer, and CHITUBOX.,Computer Graphics: Skilled in Photoshop and Illustrator.,Testing: Extensive experience in mechanical testing, including using UTM, hardness tests, optical microscopy, and tribology tests (pin-on-disc, reciprocation).,Software Proficiency: Proficient in OriginPro, Easy Plot, Excel, PowerPoint, Microsoft Word, and SPSS. Familiar with Arduino UNO and has beginner-level knowledge in Python and C programming.

Research Focus :

Ahmed’s research interests primarily lie in mechanical design, production engineering, and the application of additive manufacturing techniques. He has also explored topics in material durability and mechanical testing, particularly related to spur gears and multi-purpose fixtures.

🔬Awards:

Ahmed has received several accolades during his academic career:,2nd Place in the Innovation Day Competition at Minia University (May 2023) for his work in additive manufacturing applications.,1st Place in the Scientific Research Competition at Minia University (2017-2018).,1st Place in the Environmental Research Competition held by the Scientific Club of Minia University (2017-2018).

Conclusion:

Mr. Ahmed Abdelrahman is a strong candidate for the Research for Young Scientist Award. His innovative work on 3D printing and mechanical design, combined with his impressive academic record and teaching experience, makes him well-suited for recognition. If he can further expand his international research collaborations and publications, he will solidify his standing as a distinguished young scientist.

Publications :

    1. Cooling and lubrication techniques in grinding: A state-of-the-art review, applications, and sustainability assessment
      • Authors: AMM Ibrahim, LI Wei, AHI Mourad, AE Mohamed, AM Abd El-Naby, etc.
      • Journal: Chinese Journal of Aeronautics
      • Year: 2023
      • Citations: 19

     

    1. Tension and bending behaviors of 3D printed PLA+ at different printing parameters
      • Authors: AMAE Nabi, MM Mahmoud, WW Marzouk, HA Omran, A ElSheikh, etc.
      • Journal: Journal of Micromechanics and Molecular Physics
      • Year: 2023
      • Citations: 2

     

    1. Triboelectrification of the diapers
      • Authors: OM Suzan, A Mostafa, M Salem, WY Ali
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2017
      • Citations: 2

     

    1. Compressive and bending properties of 3D-printed wood/PLA composites with re-entrant honeycomb core
      • Authors: RF Faidallah, AM Abd-El Nabi, MM Hanon, Z Szakál, I Oldal
      • Journal: Results in Engineering
      • Year: 2024
      • Citations: Not yet available

     

    1. Nanofluids for machining in the era of Industry 4.0
      • Authors: W Li, AMM Ibrahim, Y Ren, AM Abd-El Nabi
      • Journal: Advances in Sustainable Machining and Manufacturing Processes
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of infill pattern and raster angle of the 3D printer on the mechanical properties of PLA+
      • Authors: WWM Ahmed Moustafa Abd-El Nabi, Ahmed Mohamed Mahmoud Ibrahim, Moustafa M, etc.
      • Journal: Minia International Conference on Environment and Engineering
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of the bed and printing temperatures in the mechanical properties of 3D printing additive manufacturing (FDM) using PLA+ material
      • Authors: AMMI Ahmed Moustafa Abd-El Naby, Moustafa Mahmoud, Wagih Marzouk
      • Journal: 3rd International Conference on Engineering Science and Technology
      • Year: 2021
      • Citations: Not listed

     

    1. Tribological behavior assessment of 3D printed PLA+ samples impregnated with liquid anaerobic methacrylate lubricant
      • Authors: MMMWW Mostafa A., Khalifa A.
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2021
      • Citations: Not listed

     

    4o

Zhongtao Fu |Robotics | Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Assoc Prof Dr.Zhongtao Fu |Robotics | Best Researcher Award

Assoc Prof Dr, Zhongtao Fu,Wuhan Institute of Technology, China.

Assoc. Prof. Dr. Zhongtao Fu is an Associate Professor at the Wuhan Institute of Technology, China. His research focuses on material science and engineering, with a strong emphasis on advanced manufacturing technologies, materials processing, and mechanical properties. Dr. Fu has published numerous papers in leading international journals, contributing significantly to the development of innovative materials and technologies. He is recognized for his work in promoting cutting-edge research and collaboration in the field of materials science, both domestically and internationally. Dr. Fu also plays a key role in mentoring students and fostering academic growth.

Summary:

Dr. Zhongtao Fu is a highly accomplished researcher specializing in robotics, with notable achievements in both academic research and industrial applications. His expertise in robot control systems, human-robot interaction, and multi-modal perception, combined with his successful project funding and global collaboration, make him a strong contender for the Research for Best Researcher Award. His contributions to robotics, particularly in manufacturing and healthcare, align with global technological advancements

Professional Profiles:

Scopus

🎓 Education :

Dr. Zhongtao Fu earned his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, China, in March 2016. He also holds a Bachelor of Science degree in Mechanical Engineering from Henan University of Science and Technology, completed in July 2010. His academic foundation in mechanical engineering laid the groundwork for his future research in robotics, control systems, and advanced manufacturing techniques.

🏢 Experience:

Since June 2016, Dr. Fu has served as an Associate Professor at the Wuhan Institute of Technology in China. He also worked as a Senior Engineer at Wuhan Cobot Technology Ltd. from June 2016 to December 2018, where he contributed to the development of robotics systems. Between December 2018 and December 2020, he expanded his research through international collaboration as a Visiting Research Fellow at the Core of King’s College London, UK. His research has focused on advancing robotic systems in both theoretical and practical applications, particularly in manufacturing and healthcare.

🛠️Skills:

Dr. Fu possesses extensive expertise in robot manipulation and control, particularly in human-robot interaction, robotic hands, signal processing, and optimal control strategies. He is proficient in several programming languages, including C++, MATLAB, and Python. In addition to his programming skills, he has hands-on experience with a variety of industrial robots, such as KUKA LWR, iiwa, Yaskawa, UR, Barrett Hand, Sawyer, and Denso. His knowledge also extends to key robotics software such as ROS, OpenRAVE, and RoboDK. Furthermore, he has taught courses in Robotics, Matrix Manifold, Optimal Control, Lie Algebra, and Model Predictive Control.

Research Focus :

Dr. Fu’s primary research interests lie in the theory and applications of robotics, particularly in the fields of manufacturing and healthcare. His work encompasses robot kinematics and dynamics, robot-robot and human-robot collaboration, as well as multi-modal perception. He is driven by the goal of discovering connections between advanced algorithms and the resulting product quality. By optimizing control systems, he seeks to enable robots to perform tasks with a high degree of flexibility and precision, making them more efficient in complex environments.

🔬Awards:

Dr. Fu’s achievements in robotics were recognized when his team, Dorabot & Cobot, secured second place in the prestigious IROS Competition on Grasping and Manipulation in 2016. This accolade highlights his commitment to advancing robotic systems and his ability to collaborate effectively in competitive research environments.

Conclusion:

Dr. Zhongtao Fu’s work in robotics showcases his strength in both theoretical advancements and practical implementations, making him a strong candidate for the award. Enhancing his publication record and expanding his leadership roles in international research collaborations would further cement his status as an elite researcher. Overall, his well-rounded academic, industrial, and international experience positions him well for recognition as the Best Researcher.

Publications :

  • Joint torque prediction of industrial robots based on PSO-LSTM deep learning
    • Authors: Xiao, W., Fu, Z., Wang, S., Chen, X.
    • Journal: Industrial Robot
    • Year: 2024
    • Volume/Issue: 51(3)
    • Pages: 501–510
    • Citations: 1

 

  • IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
    • Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume/Issue: 71(4)
    • Pages: 3822–3831
    • Citations: 1

 

  • FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising
    • Authors: Li, X., Han, J., Yuan, Q., Zou, M., Huang, Z.
    • Journal: Entropy
    • Year: 2023
    • Volume/Issue: 25(10)
    • Article Number: 1418
    • Citations: 2

 

  • Auto-identification of dominant modal parameters from multi-batch signals based on weighted SSA to suppress milling vibration
    • Authors: Peng, Y., Chen, X., Jiang, X., Huang, K., Fu, Z.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 128(9-10)
    • Pages: 4077–4090
    • Citations: 0

 

  • Toward Simultaneous Coordinate Calibrations of AX=YB Problem by the LMI-SDP Optimization
    • Authors: Pan, J., Fu, Z., Yue, H., Li, M., Chen, X.
    • Journal: IEEE Transactions on Automation Science and Engineering
    • Year: 2023
    • Volume/Issue: 20(4)
    • Pages: 2445–2453
    • Citations: 9

 

  • Dynamic modeling and analysis on lateral vibration of ball screw feed system
    • Authors: Gao, X., Zhang, X., Yang, J., Wang, M., Zan, T.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 124(11-12)
    • Pages: 4211–4229
    • Citations: 6

 

  • Towards Accurate Solution of Robot Hand-eye Relationship Based on the LMI-SDP Optimization | 基于 LMI-SDP 优化的机器人手眼关系精确求解
    • Authors: Fu, Z., Rao, S., Pan, J., Huang, T., Chen, X.
    • Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
    • Year: 2023
    • Volume/Issue: 59(17)
    • Pages: 109–115
    • Citations: 0

 

  • A Novel Tactile Palm for Robotic Object Manipulation
    • Authors: Zhao, F., Huang, B., Li, M., Lei, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14271 LNAI
    • Pages: 81–92
    • Citations: 0

 

  • Fast Calibration for Ultrasound Imaging Guidance Based on Depth Camera
    • Authors: Zhao, F., Li, M., Fu, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14269 LNAI
    • Pages: 68–79
    • Citations: 0

 

  • Homography matrix based trajectory planning method for robot uncalibrated visual servoing
    • Authors: Fu, Z., Lei, X., Chen, X., Li, M., Huang, T.
    • Conference: 2023 IEEE International Conference on Real-Time Computing and Robotics (RCAR)
    • Year: 2023
    • Pages: 32–37
    • Citations: 0

 

Antonio Guerrero-González| Robotics and Automation| Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr . Antonio Guerrero-González| Robotics and Automation| Best Researcher Award

 Mr . Antonio Guerrero-González ,Universidad Politécnica de Cartagena,Spain

Mr. Antonio Guerrero-González is a distinguished academic at the Universidad Politécnica de Cartagena, Spain. With extensive experience in his field, he has made significant contributions to both teaching and research. His expertise and dedication have earned him a respected position within the academic community.

Professional Profiles:

Scopus

Research Activity, Knowledge Transfer and Exchange:

Proyectos de Investigación y Transferencia e Intercambio del Conocimiento

Proyectos

  1. Proyecto Cátedra Industria 4.0:
    • Entidad: Centro de Acústica Aplicada y Evaluación No Destructiva; Instituto de Fomento de la Región de Murcia
    • Investigador Principal: Guerrero González
    • Institución: Universidad Politécnica de Cartagena
    • Duración: 01/01/2022 – 20/06/2023

Underwater Robotics for Obtaining Bionomic Cartography of UGAP2 areas:

  • Entidad: Autoridad Portuaria de Cartagena
  • Investigador Principal: Guerrero González
  • Institución: Universidad Politécnica de Cartagena
  • Duración: 20/12/2021 – 31/12/2022
  • Financiación: 15.000

Industry 4.0 Chair Project:

  • Investigador Principal: Guerrero González
  • Institución: Universidad Politécnica de Cartagena
  • Duración: 01/01/2019 – 31/12/2020
  • Financiación: 40.000

Automation and Control with Industry 4.0 Technologies of EBA Type Concrete Plants:

  • Entidad: FRUMECAR S.L.
  • Investigador Principal: Antonio Guerrero González
  • Duración: 10/07/2017 – 10/10/2017
  • Financiación: 8.500t

Research activity:

1 Artículo científico. (1/5) Guerrero-Gonzalez, Antonio (AC); Garcia-Cordova, Francisco;
Ortiz, Francisco J.; Alonso, Diego; Gilabert, Javier. 2016. A multirobot platform based
on autonomous surface and underwater vehicles with bio-inspired neurocontrollers for
long-term oil spills monitoring. Autonomous Robots. Springer. 40-5, pp.1321-1342. ISSN
0929-5593. WOS (2), SCOPUS (4) https://doi.org/10.1007/s10514-016-9602-0
2 Artículo científico. Francisco; Antonio; Fernando Mauricio. 2024. Anthropomorphic
Tendon-Based Hands Controlled by Agonist–Antagonist Corticospinal Neural
Network. Sensors. MDPI. 24-2924, pp.1-32.
3 Artículo científico. Francisco; Antonio; Joaquin; Andrés. 2023. Simultaneous
Sensing and Actuating Capabilities of a Triple-Layer Biomimetic Muscle for Soft
Robotics. Sensors. MDPI. 23-9132, pp.1-31.
4 Artículo científico. M.; A; I; A.; Y.2022. Reinforcement Learning Based Transmission
Parameter Selection and Energy Management for Long Range Internet of
Things. Sensors. MDPI. 22-5662.
5
5 Artículo científico. Antonio; Daniel; Samuel. 2021. Assessment of the Degree of
Implementation of Industry 4.0 Technologies: Case Study of Murcia Region in
Southeast Spain. Inzinerine Ekonomika-Engineering Economics. Kaunas University of
Technology. 32-5, pp.422-432.
6 Artículo científico. M.; A.; I; Y.2021. UAV-Enabled Mobile Edge-Computing for IoT Based
on AI: A Comprehensive Review. Drones. MDPI. 148-5.
7 Artículo científico. Salhaoui M.; Guerrero-González A.; Arioua M.; Ortiz F.; El Oualkadi A.;
Torregrosa C.2019. Smart industrial iot monitoring and control system based on UAV and
cloud computing applied to a concrete plant. Sensors (Switzerland). 19-3316, pp.1-26. ISSN
14248220. SCOPUS (3) https://doi.org/10.3390/s19153316
8 Artículo científico. Enguix IF; Sánchez Egea M; Guerrero González A;
Arenas Serrano D. 2019. Underwater Acoustic Impulsive Noise Monitoring
in Port Facilities: Case Study of the Port of Cartagena.Sensors (Basel,
Switzerland). 19-4672. https://doi.org/10.3390/s19214672
9 Artículo científico. González-Reolid I.; Molina-Molina J.; Guerrero-González A.; Ortiz
F.; Alonso D.2018. An autonomous solar-powered marine robotic observatory for
permanent monitoring of large areas of shallow water. Sensors (Switzerland). 18. ISSN
14248220. https://doi.org/10.3390/s18103497
10 Artículo científico. Ortiz F.; Guerrero A.; Sánchez-Ledesma F.; García-Córdova
F.; Alonso D.; Gilabert J.2015. Diseño del software de control de un
UUV para monitorización oceanográfica usando un modelo de componentes
y framework con despliegue flexible. RIAI – Revista Iberoamericana de
Automatica e Informatica Industrial. 12, pp.325-337. ISSN 16977912. SCOPUS
(1) https://doi.org/10.1016/j.riai.2015.06.003
11 Artículo científico. García-Córdova F.; Guerrero-González A.2013. Intelligent
navigation for a solar powered unmanned underwater vehicle. International
Journal of Advanced Robotic Systems. 10. ISSN 17298806. WOS (8), SCOPUS
(10) https://doi.org/10.5772/56029
12 Artículo científico. (1/4) Antonio Guerrero González (AC); Francisco García Cordova;
Inocencio González Reolid; Nápoli Gómez Ramirez. 2012. A Biologically Inspired
Neural Network for Solar Powered Autonomous Surface Vehicles. American Journal
of Intelligent Systems. scientific & Academic Publishing. 2-5, pp.93-103. ISSN
2165-8978. https://doi.org/10.5923/j.ajis.20120205.03
13 Artículo científico. Guerrero-González A.; García-Córdova F.; Ruz-Vila F.2010. A
solar powered autonomous mobile vehicle for monitoring and surveillance missions of
long duration. International Review of Electrical Engineering. 5, pp.1580-1587. ISSN
18276660. WOS (4), SCOPUS (7)
14 Artículo científico. 2008. Neural Control System for Autonomous Vehicles. Encyclopedia of
Computer Aided Design In Mechanical Engineering. IGI Global. pp.1197-1204. ISBN 9781599048499. https://doi.org/DOI:
10.4018/978-1-59904-849-9.ch175
15 Artículo científico. Pedreño-Molina J.; Guerrero-González A.; Calabozo-Moran J.;
López-Coronado J.; Gorce P.2007. A neural tactile architecture applied to real-time stiffness
estimation for a large scale of robotic grasping systems. Journal of Intelligent and Robotic
Systems: Theory and Applications. Springer. 49, pp.311-323. ISSN 09210296. WOS (10),
SCOPUS (17) https://doi.org/10.1007/s10846-006-9040-x