Autonomous Robotics: Action, Perception, and Cognition
Autonomous robotics is an interdisciplinary research field in which embodied systems equipped with their own sensors and with actuators generate behavior that is not completely pre-programmed. Autonomous robotics thus entails perception, movement generation, as well as core elements of cognition such as making decisions, planning, and integrating multiple constraints.
This course touches on various approaches to this interdisciplinary problem. In the first half of the course, the main emphais will be on dynamical systems methods for generating movement in vehicles. The main focus of the course is, however, on solutions to autonomous movement generation that are inspired by analogies with how nervous systems generate movement. The second half of the course will review core problems in human movement science, including the degree of freedom problem, coordination, motor control, and the relex control of muscles.
Lecturers
Prof. Dr. Gregor SchönerLecturer |
(+49) 234-32-27965 gregor.schoener@ini.rub.de NB 3/31 |
Details
- Course type
- Lectures
- Credits
- 6 CP
- Term
- Summer Term 2023
- E-Learning
- e-learning course available
Dates
- Lecture
-
Takes place
every week on Thursday from 14:15 to 16:00 in room NB 3/57.
First appointment is on 06.04.2023
Last appointment is on 13.07.2023 - Exercise
-
Takes place
every week on Thursday from 16:15 to 17:00 in room NB 3/57.
First appointment is on 06.04.2023
Last appointment is on 13.07.2023
Requirements
The emphasis of the course is on learning concepts, practicing interdisciplinary scholarship including reading and writing at a scientific and technical level. Mathematical concepts are used throughout, so understanding these concepts is important. Mathematical skills are not critical to mastering the material, but helpful. The mathematics is mostly from the qualitative theory of dynamical systems, attractors and their instabilities. Short tutorials on some of these concepts will be provided.
Further reading
Readings will be posted on this web page. Also have a look at the web page of the Dynamic Field Theory community that is interested in related problems and solutions. There you find more exercises, reading material, slides and lecture videos that have some overlap with the lecture.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210