Automation | Highly Cited Papers in 2021–2022
It is our great honor to present some of the highly cited papers published by Automation (ISSN: 2673-4052) in 2021 and 2022. We would like to take this opportunity to acknowledge the outstanding individuals and teams whose work inspires fellow researchers and profoundly influences the field of automation. We welcome you to read the outstanding works listed below:
1. “Intelligent Sensors for Real-Time Decision-Making”
by Tiago Coito, Bernardo Firme, Miguel S. E. Martins, Susana M. Vieira, João Figueiredo and João M. C. Sousa
Automation 2021, 2(2), 62–82; https://doi.org/10.3390/automation2020004
Full text available online: http://www.mdpi.com/2673-4052/2/2/4
2. “Sliding Mode Control with Application to Fault-Tolerant Control: Assessment and Open Problems”
by Jazmín Zenteno-Torres, Jérôme Cieslak, Jorge Dávila and David Henry
Automation 2021, 2(1), 1–30; https://doi.org/10.3390/automation2010001
Full text available online: http://www.mdpi.com/2673-4052/2/1/1
3. “Design of Tendon-Actuated Robotic Glove Integrated with Optical Fiber Force Myography Sensor”
by Antonio Ribas Neto, Julio Fajardo, Willian Hideak Arita da Silva, Matheus Kaue Gomes, Maria Claudia Ferrari de Castro, Eric Fujiwara and Eric Rohmer
Automation 2021, 2(3), 187–201; https://doi.org/10.3390/automation2030012
Full text available online: http://www.mdpi.com/2673-4052/2/3/12
4. “Reinforcement Learning for Collaborative Robots Pick-and-Place Applications: A Case Study”
by Natanael Magno Gomes, Felipe Nascimento Martins, José Lima and Heinrich Wörtche
Automation 2022, 3(1), 223–241; https://doi.org/10.3390/automation3010011
Full text available online: http://www.mdpi.com/2673-4052/3/1/11
5. “Design, Modeling, and Control of a Differential Drive Rimless Wheel That Can Move Straight and Turn”
by Sebastian Sanchez and Pranav A. Bhounsule
Automation 2021, 2(3), 98–115; https://doi.org/10.3390/automation2030006
Full text available online: http://www.mdpi.com/2673-4052/2/3/6
6. “Optimal Control Systems Using Evolutionary Algorithm-Control Input Range Estimation”
by Viorel Mînzu and Iulian Arama
Automation 2022, 3(1), 95–115; https://doi.org/10.3390/automation3010005
Full text available online: http://www.mdpi.com/2673-4052/3/1/5
7. “Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts”
by César Martínez-Olvera
Automation 2022, 3(1), 197–222; https://doi.org/10.3390/automation3010010
Full text available online: http://www.mdpi.com/2673-4052/3/1/10
8. “Modeling and Control of Satellite Formations: A Survey”
by Boris Andrievsky, Alexander M. Popov, Ilya Kostin and Julia Fadeeva
Automation 2022, 3(3), 511–544; https://doi.org/10.3390/automation3030026
Full text available online: http://www.mdpi.com/2673-4052/3/3/26
9. “Improving Automatic Warehouse Throughput by Optimizing Task Allocation and Validating the Algorithm in a Developed Simulation Tool”
by Nikolaos Baras, Antonios Chatzisavvas, Dimitris Ziouzios and Minas Dasygenis
Automation 2021, 2(3), 116–126; https://doi.org/10.3390/automation2030007
Full text available online: http://www.mdpi.com/2673-4052/2/3/7
10. “Adaptive 3D Visual Servoing of a Scara Robot Manipulator with Unknown Dynamic and Vision System Parameters”
by Jorge Antonio Sarapura, Flavio Roberti and Ricardo Carelli
Automation 2021, 2(3), 127–140; https://doi.org/10.3390/automation2030008
Full text available online: http://www.mdpi.com/2673-4052/2/3/8