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PhD Course - Advanced topics in Perception for Robotics and Autonomous Systems


Technical University of Denmark


General course objectives:
To make participants able to identify and comprehend state-of-the-art research in perception for robotics and autonomous Systems The course aims to give participants the ability to showcase their own research building on top of advanced topics in perception for robotics and autonomous systems covered in this course.

Learning objectives:
A student who has met the objectives of the course will be able to:
  • Robust Machine Learning for Autonomous Robot Perception
  • Autonomous Robot Perception
  • Label-Efficient Learning
  • Meta-learning
  • Unsupervised learning for Autonomous Systems
  • Few-shot learning
  • Domain adaptation
  • Multi-task learning

Contents:
Advanced topics in robots and autonomous systems, including: Robust Machine Learning for Autonomous Robot Perception, Unsupervised learning for Autonomous Systems, Label-Efficient Learning, Meta-learning. Participants work individually or in small groups on an assignment building on a concept covered or inspired by the course. The topic will be chosen by the participants and approved by the lecturers.

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Course organizer
Lazaros
Place/Venue
Anker Engelunds Vej 1
City
2800 Kgs. Lyngby
Country
Denmark
Workload
5
Link
http://kurser.dtu.dk/course/34792