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Toward a Design for Teaching Cognitive Robotics Matthew D. Tothero Oskars J. Rieksts February 23, 2016
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Kutztown University Criteria Embodied cognition Agent-principal paradigm Clear ontology Clear epistemology Concepts supporting agent- principal interaction
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February 23, 2016 Kutztown University Embodied Cognition Perceive Conceive Believe Achieve
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February 23, 2016 Kutztown University Embodied Cognition Perceive receive & process sensa Conceive create concepts Gain understanding
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February 23, 2016 Kutztown University Embodied Cognition Believe know or think to be true Achieve accomplish specific task
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February 23, 2016 Kutztown University 8 Laws of Embodied Cognition A robot cannot: conceive what it cannot perceive perceive what it cannot conceive achieve what it cannot conceive conceive what it cannot achieve
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February 23, 2016 Kutztown University 8 Laws of Embodied Cognition A robot cannot: conceive what it cannot believe believe what it cannot conceive perceive what it cannot believe believe what it cannot perceive
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February 23, 2016 Kutztown University Agent-Principal Paradigm The robot is the agent The “user” is the principal The principal gives directives The robot carries out directives Interaction is required This requires communication
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February 23, 2016 Kutztown University Metaphors of A-P Paradigm Hunter & hunting dog Note: continuous interaction General Eisenhower and President Roosevelt Directive: You will invade the European continent and defeat the Nazi war machine
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February 23, 2016 Kutztown University Ontgy/Eptmy of A-P Paradigm Ontology & epistemology Hunter & hunting dog Overlap – but not co-extensive Visual cortex vs. olfactory cortex Different conceptual structures Able to communicate with respect to task achievement
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February 23, 2016 Kutztown University Ontgy/Eptmy of A-P Paradigm Eisenhower and Roosevelt Experientially disparate Different conceptual structures Different goals, but with overlap Able to communicate for task achievement
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February 23, 2016 Kutztown University A-P Paradigm for Robotics Agent and principal are separate entities Agent acts on its own Agent receives and understands directives Agent and principal communicate
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February 23, 2016 Kutztown University Implement A-P Paradigm Finch Raspberry Pi Laptop Client-server approach
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Finch Carnegie Mellon's CREATE lab Parts: Light, temperature, and obstacle sensors Accelerometers Motors Multiple programming languages and environments February 23, 2016 Kutztown University
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Wireless Finch Raspberry Pi USB HUB Battery Pack Wireless Adapter February 23, 2016 Kutztown Univeristy
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February 23, 2016 Kutztown University Software Debian Python 3 OrientDB TCP/IP
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February 23, 2016 Kutztown University Client/Server Approach Raspberry Pi - Server Laptop - Client Send commands to server Commands translated to Finch’s API calls
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February 23, 2016 Kutztown University OrientDB GDB Software Contained within Raspberry Pi
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February 23, 2016 Kutztown University Finch Issues Not deterministic Straight line issues Video link
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February 23, 2016 Kutztown University New Approaches 4tronix Diddyborg
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February 23, 2016 Kutztown University 4tronix Initio
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February 23, 2016 Kutztown University PiBorg Diddyborg
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February 23, 2016 Kutztown University Hardware/Software Experiences Robots required initial setup 4tronix required the least amount of work, but the most amount of time Diddyborg required more technical skill such as soldering
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February 23, 2016 Kutztown University Robot Comparison Diddyborg More durable and stronger Requires more sensors 4tronix Plastic Came with sensors out of the box
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February 23, 2016 Kutztown University 4tronix Video Link
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Upcoming Tasks Additional sensors Indoor location services February 23, 2016 Kutztown University
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February 23, 2016 Kutztown University Conclusion This approach shows promise Sensors and software must be tuned with respect to MMS theory (below) Drawbacks Cost per unit Not turnkey system
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February 23, 2016 Kutztown University MMS Theory Affordances & constraints Drawbacks Cost per unit Not turnkey system
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February 23, 2016 Kutztown University MMS Theory D/H A&C + software A&C determine mental model robot can construct Drawbacks Cost per unit Not turnkey system
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February 23, 2016 Kutztown University MMS Theory Robot operates within (dynamic) mental model space
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February 23, 2016 Kutztown University Bibliography, p. 1 Bickhard, Representational content in humans and machines, Journal of Experimental and Theoretical Artificial Intelligence, 5(4), 1993, 285-333. R.A. Brooks, A robust layered control system for a mobile robot, IEEE Journal of Robotics and Automation, 2(1), 1986, 14–23. TCP/IP R.A. Brooks, Intelligence without representation, Artificial Intelligence 47 (1991), 139–159. M. Cowart, Embodied Cognition, Internet Encyclopedia of Philosophy, URL =.http://www.iep.utm.edu/embodcog/
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February 23, 2016 Kutztown University Bibliography, p. 2 A. Kronfeld, Amichai. Reference and computation: an essay in applied philosophy of language (studies in natural language processing) (Cambridge, UK: Cambridge University Press, 1990). A. Noe. Action in Perception (Cambridge, MA: MIT Press, 2005). A. Noe. Spatial strategies in human-robot communication. Künstliche Intelligenz, 16(4), 2002, 19-23.
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February 23, 2016 Kutztown University Bibliography, p. 3 L. Shapiro. Embodied Cognition (New York, NY: Routledge, 2011). G. C. Smith. What Is Interaction Design? in B. Moggeridge. Designing Interactions (Cambridge, MA: MIT Press, 2007). G.M. Stratton, The spatial harmony of touch and sight, Mind, 8(32), 1899, 492-505. R. A. Wilson and L. Foglia, Embodied Cognition, The Stanford Encyclopedia of Philosophy (Winter 2015 Edition), E.N. Zalta (ed.), URL =.http://plato.stanford.edu/archives/win2015/entries/embo died-cognition/
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