29/03/2021 15:25:07

SS02 – Soft Computing Applied to Autonomous Robots and Renewable Energy Systems


Advances in autonomous robots and renewable energy systems are key points to show the  progress of any society. On the one hand, robotics contributes to the improvement of working  conditions and facilitates daily life. In order to satisfy the growing complexity demands of the  industry and society, these robots need to develop advanced capabilities to work autonomously  in changing environments and collaborate with the users.

On the other hand, the development of renewable energy systems is essential to guarantee the  sustainability of the worldwide electricity grid and slow down climate change. Among renewable  energies, wind is the second most widely used followed by hydroelectric, due to its high  efficiency. Moreover, some studies suggest that wind energy will be the main source of  generation by 2050. However, to meet this forecast the research on this field must advance.

Expert systems, fuzzy control, neural networks, genetic algorithms, artificial immune networks,  swarming particle techniques, ACO, reinforcement learning, and other soft computing  techniques have been shown to be effective in many different fields. They can be applied to  tackle complex problems where conventional methods are less efficient or unsuccessful. 

The aim of this special session is to provide a platform for researchers, engineers and industrial  professionals from different fields to share and exchange their ideas, research results and  experiences in the field of soft computing techniques applied to autonomous robots and  renewable energy systems. Contributions to this special session are welcome to present and  discuss novel methods, algorithms, frameworks, architectures, platforms, and applications


Session topics include, but are not limited to, the following strategies and approaches applied  to autonomous robots and wind energy systems:

  • Intelligent control: fuzzy control, neuro-control, neuro-fuzzy, intelligent-PID control, …
  • Optimization by heuristic techniques in system engineering and control
  • Modelling and identification by Soft Computing techniques
  • Identification and control by hybrid intelligent strategies

Session Chairs

  • J. Enrique Sierra García, University of Burgos, Burgos (Spain) 
  • Matilde Santos Peñas, Complutense University of Madrid, Madrid (Spain)
  • Paweł Martynowicz, AGH University of Science and Technology, Kraków (Poland)
  • Fotis Dimeas, Automation & Robotics Lab, Aristotle University of Thessaloniki (Greece)


For further information please contact Dr. J. Enrique Sierra, jesierra@ubu.es

Additional Information 

The session will be technically endorsement by two different research and development  projects: 

• WindWave research project (MCI/AEI/FEDER Project number RTI2018-094902-B-C21),  funded by the Spanish Ministry of Science, Innovation and Universities. 

• CoLLaboratE project (https://collaborate-project.eu/), which has received funding  from the European Union’s Horizon 2020 research and innovation programme under  grant agreement No. 820767.