Autonomous Systems
Autonoma system

FRT165F, 12 högskolepoäng

Gäller från och med: Autumn 2016
Beslutad av: Professor Thomas Johansson
Datum för fastställande: 2017-06-01

Allmänna uppgifter

Avdelning: Automatic Control
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English

Syfte

Autonomous Systems is a core course within Wallenberg Autonomous Systems and Software Program (WASP), whose purpose is to give a broad understanding of the wide area of autonomous systems and foundational knowledge in the topic areas required to understand and develop autonomous systems.

Mål

Kunskap och förståelse

För godkänd kurs skall doktoranden

• explain what autonomy is and what makes a system autonomous.
• explain how an autonomous system works and describe important components.
• explain optimal control and model predictive control and how they relate to autonomous systems.
• explain common methods for visual object detection and tracking (background modelling, appearance-based detectors, region tracking, object tracking).
• explain common types of positioning systems (e.g. GNSS, UWB, dead reckoning, inertial navigation, signals of opportunity, magnetic field SLAM), their strengths and weaknesses.
• explain common methods and techniques for reinforcement learning, neural networks and deep learning, especially for autonomous systems.

Färdighet och förmåga

För godkänd kurs skall doktoranden

• analyze how different components contribute to the autonomy of a system.
• analyze the relations between and integration of control, motion planning, task planning and decision making.
• analyze the effect of measurement errors on the accuracy and dependability of positioning systems.
• design and program a system for human-robot interaction involving visual information.

Värderingsförmåga och förhållningssätt

För godkänd kurs skall doktoranden

• analyze the industrial and societal impact of autonomous systems.
• reflect upon the ethical and moral issues related to autonomous systems.

Kursinnehåll

The course is organized in a collaboration between four universities in Sweden: KTH, Chalmers, Linköping, and Lund. The course consists of four modules: - Control and Decision making - Sensing and Perception - Learning and Knowledge - Interaction and Collaboration

Kurslitteratur

Lecture material (slides) and hand-in assignments are distributed via the course homepage.

Kursens undervisningsformer

Undervisningsformer: Föreläsningar, seminarier, laborationer, övningar, projekt. The course is organized around five two day sessions with physical meetings: - Control and Decision Making - Sensing and Perception - Learning and Knowledge - Interaction and Collaboration - Final examination Each session consists of lectures, invited talks and seminars. The main content of each module is presented at a session and then examined at a seminar at the following session. The first session will also give an introduction to autonomous systems and autonomy. Between the sessions there will be local activities at the four main sites (Göteborg, Linköping, Lund and Stockholm). These will be mainly student driven.

Kursens examination

Examinationsformer: Skriftlig rapport, inlämningsuppgifter, seminarieföredrag av deltagarna, övrigt. The examination consists of exercises, labs and projects. There is also a final examination in the form of a two-day seminar at the end of the course.
Betygsskala: Underkänd, godkänd
Examinator:

Antagningsuppgifter

Urvalskriterier: PhD students admitted to the WASP Graduate School have priority in case of overbooking.

Kurstillfällesinformation

Kontaktinformation och övrigt

Kursansvariga:
Hemsida: http://wasp-sweden.org/graduate-school/courses/autonomous-systems/