Autonomous navigation is key to employ robots for search and rescue operations in unexplored and hazardous environments. Visual sensing performed by the robot contributes significantly to its self localisation as the GPS signal could be unavailable. The goal of this project is to develop Computer Vision algorithms to enable the robot to self localise and to create a map of the unknown environment. The candidate student will develop and test these algorithms directly on the robotic platform, such as a quadrotor drone. Algorithms will run onboard and will utilise the Robotic Operating System (ROS) to communicate control commands to the drone. Field tests will be carried out in outdoor environments.
Required knowledge and skills:
Computer Vision, Machine Learning Robotics.
Robotic Operating System.
This FBK Internship opportunity is for both Bachelor and Masters' students.
Minimum 3 months.
From october 2018.
Fabio Poiesi <email@example.com>