Cognitive Robotics and Autonomous Driving

Introduction

Autonomous smart agents need of formal methodologies to represent knowledge. In this context, knowledge graphs and deep learning techniques can be used to analyze unknow environments and support decision making process.

Available Theses

  • Semantic Based Approaches for Cognitive Robotics
  • Deep Learning and BigData for Cognitive Robotics Perception
  • Knowledge Graph and Deep Learning Techniques for Autonomous Driving
  • Dynamic Decision Making Rules for Autonomous Smart Agents
  • Agumented reality for Smart Applications
  • Knowledge as a Service for Smart Applications
  • Reinforcement learning for Smart Applications

Theses In progress

  • None at the moment

Project & Collaborations

  • In Progress

References

  • Antonio M. Rinaldi, Associate Professor (This email address is being protected from spambots. You need JavaScript enabled to view it.)
  • Cristian Tommasino, PhD student (This email address is being protected from spambots. You need JavaScript enabled to view it.)