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SUMMARY:Embodied intelligence: How the body shapes the way robots behave -
  Dr Fumiya Iida\, CUED
DTSTART:20150206T140000Z
DTEND:20150206T150000Z
UID:TALK57036@talks.cam.ac.uk
CONTACT:Ms Helen Gardner
DESCRIPTION:There has been an increasing interest in the concept of “mec
 hanical intelligence” in the design and control of robots. It has been k
 nown\, for example\, that control of dynamic motions such as walking and r
 unning can be significantly simplified and more energetically efficient wh
 en the mechanical dynamics are set out for physical self-stabilization. In
  general\, self-organization of behaviors based on physical system-environ
 ment interactions is the key to understand the autonomy of intelligent ada
 ptive systems. In this lecture\, I introduce our efforts on developing and
  understanding self-organizing machines in the real world\, which are stru
 ctured into three basic research components. The first research component 
 aims to construct the principles of self-organization through mechanical s
 ystem-environment interactions such as springy legs interacting with the g
 round for locomotion purposes. These case studies provide us fundamentals 
 of emergent behaviors because system-environment interac\ntions are the ba
 sis of self-organization in the real-world. Second\, we have been also exp
 loring self-organization of motion control processes\, in which we study t
 he underlying mechanisms of sensory-motor calibration of complex musculosk
 eletal dynamical systems. Together with our collaborating neurophysiologis
 ts\, we investigate how muscle twitches during sleep could provide basic c
 ircuitry for sensory-motor coordination of spinal reflexes. And third\, we
  also investigate the use of rapid prototyping technologies to autonomousl
 y design\, assemble\, and test physical robots for model-free optimization
  of robot designs. Through these case studies of dynamic system-environmen
 t interactions\, we discuss implications of embodied intelligence and its 
 research directions in the future.
LOCATION:Cambridge University Engineering Department\, LR4
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