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www.ima-zlw-ifu.rwth-aachen.de
Interest Young Academics for
Engineering The Didactical Aspects of Learning
with Robots
Philipp Wolters M.A.
13.06.2012 @ NAO Tech Day 2012 co-authored by Eva-Milena Küper
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Philipp Wolters
Contents
I. The Cluster of Institutes
The Structure of IMA/ZLW und IfU
II. Supporting Young Talents – The RWTH Aachen education labs
RoboScope
InfoSphere
DLR School Labs
III. The Methodical and Didactical Aspects of Robotics
The Dual Cycle of Learning
Working with NAO
The Dual Cycle of Learning with NAO
IV. Why using NAO in Teaching Contexts?
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Cluster of Institutes: IMA/ZLW & IfU
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Connecting different engineering disciplines under one roof.
Offering space for creative and individual working.
Experience current and future technologies.
Long-term Goal: Career orientation for the participating disciplines.
Supporting Young Talents – The Vision
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Supporting Young Talents – The RWTH Education Labs
…
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Supporting Young Talents – The RWTH Education Labs
Funded by the Ministry of Innovation, Science, Research and Technology (state NRW).
Possibility for pupils to design, construct and program their own robots .
Platform: LEGO Mindstorms.
Focus on primary school and first grades in secondary school.
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Supporting Young Talents – The RWTH Education Labs
Funded by the Ministry of Innovation, Science, Research and Technology (state NRW).
Dealing with basics topics of computer science.
Makes concepts, methods and tools of computer science available.
Pupils and teenager of every age.
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Supporting Young Talents – The RWTH Education Labs
Offers career orientation for all core topics of the DLR.
Core Topics: Aerospace, energy, traffic and safety.
Takes gender and diversity aspects into consideration.
Transition from school to university is managed
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How do we teach pupils those complex topics?
The Dual Cycle – How do we teach?
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Didactic design is based on the dual cycle of work-integrated learning.
Realized particularly in work- and activity-integrated contexts.
Iterative loop of experience, reflection and application of gained knowledge.
The Dual Cycle of Learning
Reference: Leisten, Ingo/ Brall, Stefan/ Hees, Frank (2008): Everyone wants them – we enable them: Communicative Engineers. Tunku Abdul Ran College (Ed.). International Conference on Learning and Teaching, Kuala Lumpur 2008.
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The Dual Cycle of Learning
Experience
Demonstration Alley:
Initiation,
Confrontation,
Motivation.
Goal:
Permits easy access to the topic of robotics.
Reduces inhibitions.
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The Dual Cycle of Learning
Reflection
Microteaching Modules:
Conveying subject-related knowledge.
Creating space for reflection.
Goal:
Rapid exchange of knowledge.
Initial experience is transformed into a model of reality.
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The Dual Cycle of Learning
Mental Models
Connecting practice with theory:
First practical experience helps to understand theoretical background.
Sustainability achieved by conscious analysis and application of gained knowledge in a given task.
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The Dual Cycle of Learning
Experience The Tournament Area:
Testing programmed models in action
Connecting practice with theory. Goal
Practical experience helps to understand theoretical background.
Sustainability by conscious analysis and application of gained knowledge in a given task.
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The Dual Cycle of Learning
Reflection
Microteaching Modules:
Introduction in programming methods.
Definition of a competitive task.
Goal:
Deepen knowledge about robotics.
Motivation for building and programming phase.
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The Dual Cycle of Learning
Generalized Mental Models
Observation and Evaluation:
Stable generalized mental models for further actions.
Creating permanent learning cycle to continuously improve cognitive and psycho-motoric knowledge.
Further learning of theory about algorithms made easier.
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Learning beside robotics:
Problem solving strategies,
Social skills,
Creativity,
Innovation capacity,
Time management,
Sense of responsibility,
Interest in engineering and science topics.
The Dual Cycle of Learning
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Safety
Creating a control loop for
autonomous line tracing.
The RWTH Education Labs – Application Areas
Automation & Robotics Application Areas
Construction Technology, Information Technology, Electrical engineering, Cybernetics
Traffic
Navigation along a path.
Aerospace
Discussion about the flight dynamics of a Quadrocopter.
Energy
Analyse of the energy which is obtained by an
electric generator.
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Hardware: Aldebaran NAO
Experiment 1 – Construction Technology
Impact of the centre of mass of a multibody system while moving.
Experiment 2 – Information Technology
Programming by concerning different sensors and environmental impacts Programming by combining predefined patterns in Choregraphe.
Experiment 3 – Electrical Engineering
Demonstrate impacts of programmed movements to temperature and computation.
Experiment 4 – Cybernetics
Illustrate connection between different research areas and their application.
Working with NAO
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Working with NAO
Approach: Complex piece of technology: Session should not impart deepening
knowledge but gives first impression.
Practical and theoretical phases passed in learning loops.
Lessons with NAO involve different research topics and their impact on each other: Construction Technology,
Information Technology,
Electrical Engineering,
Cybernetics.
General task: Program NAO to perform a successful goal-kick.
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The Dual Cycle of Learning with NAO
Experience
Playing with humanoids.
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Reflection
How does a human keeps balance?
How does a human walk?
What happens if you get pushed by a friend?
The Dual Cycle of Learning with NAO
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Mental Models
Understanding humanoid sensor model in order to keep balance.
The Dual Cycle of Learning with NAO
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Intended Action
Ball recognition
Path planning
The Dual Cycle of Learning with NAO
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Reflection
What happens if you stand on one foot?
What should you consider when performing a goal-kick?
The Dual Cycle of Learning with NAO
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The Dual Cycle of Learning with NAO
Generalized Mental Models
Understanding interconnection between sensors and motoric ability.
Breaking down complex tasks into simple ones.
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The Dual Cycle of Learning with NAO
Intended Action
Aiming for goal
Goal-kick
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Why using NAO in Teaching Contexts?
NAO is humanoid robot:
General knowledge about own body can be used to solve problems.
The scope of application is nearly unlimited:
NAO provides everything to demonstrate general research topics: e.g. control loops by sensor fusion, image recognition, moving in a 3D-space.
Demonstrates the complexity and variety of research areas:
Programming NAO involves Engineering, Computer Science, even Social Science
Gender aspects are addressed as well:
The human appearance of body, movement and language makes NAO suitable for girls and boys.
Why NAO is a perfect solution to demonstrate current research topics and motivation for STEM studies:
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Thank you for your
attention and for not being
headless today!
Philipp Wolters M.A. Tel.: +49 241-80-91178 [email protected]
www.ima-zlw-ifu.rwth-aachen.de
