advances in robotics and how they apply to learning
TRANSCRIPT
Advances in Robotics and How They Apply to Learning
Robots
• Date as far back as 10thC BC• Earliest forms were about manipulating the
environment for practical human comfort• ‘Programmable’• Robotics is ALL about human performance!
The Real Question
• Why robots at DevLearn?• What can we learn from Robotics that can
help us in eLearning?
A turning point
• Distributed network of brains• The size of brains
And….parallel processing
“The switches are rapidly approaching dimensions that can be measured in terms of the widths of just a few atoms.”
http://bits.blogs.nytimes.com/2012/10/28/i-b-m-reports-nanotube-chip-breakthrough/?_r=0
Evolution of Robotics - Repetitive to Adaptive
• The design of robots has evolved from automating repetitive tasks to designing adaptive intelligence (The new ‘AI’)
AI = The major technologies are expert systems, neural networks, intelligent agents, fuzzy logic, and genetic algorithms.
So why are we so concerned about training people to be robots?
Evolutionary Robotics
• http://www.youtube.com/watch?v=Xja6sLl6dVg (13:47 – creating a self image)
Evolutionary Robotics
….When applied well, an evolutionary approach can free the investigator from having to make decisions about every detail of the robot's design.
Embodied Cognition
BMW S1000RR HP4
CyBeRev Technology
• Allowing a person to exist in cyberspace after ‘death’
• Allowing a person to ‘download’ their mind into a synthetic body and brain
Merging of Technological with Biological
The wholesale transfer of bio-logic into machines should fill us with awe. When the union of the born and the made is complete, our fabrications will learn, adapt, heal themselves, and evolve.
Kevin Kelly, Out of Control
So What?
• Let’s start thinking differently about what we do.
• Reframe the challenge from how do we ‘train’ somebody to do a job to
• How do we help people adapt to their changing environment?
• What can we build to make people superhuman?
So What?
• Allow the ‘performer’ to be the interface• Engage the body• Apply distributed network principles• Merge analog and digital world (Transmedia
principles)• Don’t digitize the analog world, create
superhumans
Resources and References
• http://ccc.utexas.edu/cogsci08/tut08-yu.pdf• http://vfu.bg/en/e-Learning/Artificial-Intellige
nce--AI_and_ES_Nowledge_base_systems.pdf