The Faculty of Engineering
The Maersk Mc-Kinney Moller Institute, Odense
 
Adaptive embodied locomotion control systems
Adaptive embodied locomotion control systemsTeaching activity id: RMAI3-U2.
Teaching language: English.ECTS / weighting: 5 ECTS / 0.083 full-time equivalent.
Approved: 18-03-15.
Period: Autumn 2015.
Offered in: Odense.
 

Programmes:
Master of Science in Engineering (Robot Systems)
3. semester, elective subject. Offered in: Odense.
 
Subject director:
Lektor Ole Dolriis, The Maersk Mc-Kinney Moller Institute.
 
Prerequisites:
Basic programming experience and it is recommended that RMAI2 has been followed.
 
Content - Key areas:
•             Embodied AI (Design principles of Intelligence),
•             Biomechanics & neural control of legged locomotion,
•             Adaptive legged robots.
 
Learning outcomes:
After completing this course, the student is able to:
- Apply theories and techniques from the area of embodied AI, biomechanics, and locomotion control to reliable use on physical walking robots.

Knowledge:

+ in-depth knowledge of the area of embodied AI, biomechanics, and locomotion control of complex robotic systems, like walking robots

+ detailed understanding of embodied AI techniques applicable to walking robots

+ general knowledge of the breadth of sensorimotor coordination problems in the complex robotic systems


Skills:


+ able to give a seminar presentation in a scientific way,

+ able to report an embodied locomotion control-based task in a clear and concise way,
 using appropriate methodology and evaluation criteria

+ able to plan and monitor an embodied locomotion control-based task, including planning of implementation and evaluation


Competences:

+ able to construct a physical dynamic walking robot using the robot construction kit Locokit

+ able to solve complex control problems of the walking robot using embodied AI techniques

+ able to carry out an embodied locomotion control-based task, including management of time, knowledge and dissemination.

+ able to independently take responsibility for his/her own professional development and specialization                                          
 
Literature:
1) How the Body Shapes the Way We Think: A New View of Intelligence, by Rolf Pfeifer , Josh Bongard

2) Neuronal Control of Locomotion: From Mollusc to Man (Oxford Neuroscience S) by G. N. Orlovsky, T. G. Deliagina and S. Grillner

3) Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems (Cognitive Technologies), by Poramate Manoonpong


 
Time of classes:
Fall semester

 
Lessons:
48
 
Form of instruction:
Lectures, seminars, exercises and project work.
 
Examination conditions:

 
Evaluation
Individual written report based on project and evaluated pass/fail. Internal co-examiner