DOI: 10.1007/978-3-540-69162-4_67
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Making a Robot Dance to Music Using Chaotic Itinerancy in a Network of FitzHugh-Nagumo Neurons

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Cited by 18 publications
(12 citation statements)
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“…What are needed are more creative and dynamic movements for dancing robots that can learn and adapt to human preferences so as to keep their interest. There has been little progress in this direction although there are some that are working close in this direction [1] [20]. This research introduces a step in this direction.…”
Section: B Dancing Robotsmentioning
confidence: 99%
“…What are needed are more creative and dynamic movements for dancing robots that can learn and adapt to human preferences so as to keep their interest. There has been little progress in this direction although there are some that are working close in this direction [1] [20]. This research introduces a step in this direction.…”
Section: B Dancing Robotsmentioning
confidence: 99%
“…Examples include the MIURO wheeled robot developed by ZMP [5], the ASIMO [91], the Robonova-I [20] and a Lego NTX based humanoid robot [57]. The ability to dance with music can allow future dancing robots to be more interactive.…”
Section: Dancing Robotsmentioning
confidence: 99%
“…Globally, it is possible to find in the literature autonomous dancing robots that range from omnidirectional egg-shaped mp3 players 11 , to quadrocopters 12 , creature-like toys 13 , Lego robots 14 , and low-cost humanoids 15 , 16 ; all applied to edutainment and/or child-care purposes.…”
Section: Related Researchmentioning
confidence: 99%
“…These include the real-time generation of motor-commands triggered by a FitzHugh-Nagumo neural network fed with musical beats on-the-fly 11 ; the generation of periodic side-to-side motions triggered in phase to the musical beats, previously detected off-line 12 ; simple periodic motor primitives controlled by the tempi of a metronome fed with live musical or visual stimuli 13 ; simple motion combinations reacting to multi-modal events, given by floor colors and multiple note-onsets' intensities 14 ; and the online generation of simple humanoid dancing sequences by interpolating random 15 or user-controllable 16 keypose combinations in phase to the musical beat.…”
Section: Related Researchmentioning
confidence: 99%