Research and development projects are a strength point of Cortechma Inc. We bring state-of-the-art artificial intelligence and machine learning solutions to a wide range of applications in commercial, industrial and science sectors.

Cortechma AI lab has a team of dedicated researchers, scientists, and experienced engineers to conduct all stages of research, development, and prototyping to build novel products and offer innovative solutions aligned with the clients needs in the market.

Cortechma R&D team has several published papers and patents that introduce novel approaches in machine learning and deep learning areas. Members of Cortechma AI lab are reviewers of several international journals such as IEEE and Springer. This team also has the capability to extract the best technologies using research papers to propose customized solutions for clients across different industries.

Cortechma AI lab R&D Project Areas:

  • Artificial Intelligence.
  • Machine Learning & Deep Learning.
  • Augmented Reality Powered by AI Technologies.
  • Autonomous Systems and Robots.
  • Intelligent & Adaptive Control Systems.
  • Advanced Computer Vision.

Sample Published Research Papers:

  • Self-Learning visual servoing of a robot manipulator using Explanation-based Fuzzy Neural Networks and Q-Learning algorithm. (Journal of Intelligent & Robotic Systems – Springer, April 2015, Volume 78, Issue 1, pp 83–104, DOI: 10.1007/s10846-014-0151-5)

View Paper:

http://link.springer.com/article/10.1007/s10846-014-0151-5

  • Autonomous visual servoing of a robot manipulator using Reinforcement learning. (International Journal of Robotics and Automation – ACTA, Vol. 31, No. 1, 2016, ISSN Online: 1925-7090).

View Paper:

https://www.actapress.com/Content_of_Journal.aspx?journalID=225

  • Design and implementation of an Intelligent Fuzzy Model Following Speed Controller for induction motors and its optimization using Genetic Algorithms.

Sample Patents and White Papers:

  • Infection Symptoms Analysis and Prediction Using Machine Learning Algorithms.
  • Comprehensive Modeling & Controls of Sustainable Cities Using AI.
  • AI Applications, Governance, Risks and Ethical Framework for Sustainable Cities.