nach oben

International Journal of Social Robotics

Erschienen in:

01.11.2016

Autonomous Robotic Choreography Creation via Semi-interactive Evolutionary Computation

verfasst von: Hua Peng, Huosheng Hu, Fei Chao, Changle Zhou, Jing Li

Erschienen in: International Journal of Social Robotics | Ausgabe 5/2016

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The creation of robotic choreography is a new hotspot of the artificial intelligence research (Peng in IEEE Trans Hum Mach Syst 45:281–293, 2015), and its final goal is for a robot to create good dance works autonomously. This is a challenging task due to the absence of the objective evaluation criteria. This paper proposes a semi-interactive evolutionary computation method for a humanoid robot to create robotic choreography autonomously. It emphasizes that the humanoid robot should develop its good dance poses and movements autonomously by means of machine learning. The proposed mechanism has been implemented on simulated NAO robots in simulation to verify its feasibility and performance.

Vorheriger Artikel An Integrated Decision Making Approach for Adaptive Shared Control of Mobility Assistance Robots

Nächster Artikel Dynamic Social Zone based Mobile Robot Navigation for Human Comfortable Safety in Social Environments

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

\(L_1\)(Head limb) contains the set of Nao robot’s joints:{HeadYaw, HeadPitch}.

\(L_2\) (Upper-body limb) contains the set of Nao robot’s joints: {LShoulderPitch, LShoulderRoll, LElbowYaw, LElbowRoll, LWristYaw, LHand, RShoulderPitch, RShoulderRoll, RElbowYaw, RElbowRoll, RWristYaw,RHand}.

\(L_3\) (Lower-body limb) contains the set of Nao robot’s joints: {LHipYawPitch, LHipRoll, LHipPitch, LKneePitch, LAnklePitch, LAnkleRoll, RHipYawPitch, RHipRoll, RHipPitch, RKneePitch, RAnklePitch, RAnkleRoll}.

Peng H, Zhou C, Hu H, Chao F, Li J (2015) Robotic dance in social robotics—a taxonomy. IEEE Trans Hum Mach Syst 45(3):281–293CrossRef

Shinozaki K, Iwatani A, Nakatsu R (2008) Construction and evaluation of a robot dance system. In: New frontiers for entertainment computing, vol 279. Springer, Milano, pp 83–94

Oliveira JL, Reis LP, Faria BM (2012) An empiric evaluation of a real-time robot dancing framework based on multi-modal events. TELKOMNIKA Ind J Electr Eng 10(8):1917–1928

Aucouturier J, Ogai Y, Ikegami T (2008) Making a robot dance to music using chaotic itinerancy in a network of FitzHugh–Nagumo neurons. In: 14th international conference on neural information processing (ICONIP 2007), pp 647–656

Meng Q, Tholley I, Chung PWH (2014) Robots learn to dance through interaction with humans. Neural Comput Appl 24(1):117–124CrossRef

Eaton M (2013) An approach to the synthesis of humanoid robot dance using non-interactive evolutionary techniques. In: 2013 IEEE international conference on systems, man, and cybernetics (SMC 2013), pp 3305–3309

Krasnow D, Chatfield SJ (2009) Development of the ‘performance competence evaluation measure‘ assessing qualitative aspects of dance performance. J Danc Med Sci 13(4):101–107

Vircikova M, Sincak P (2010) Dance choreography design of humanoid robots using interactive evolutionary computation. In: 3rd workshop for young researchers on human-friendly robotics (HFR 2010)

Vircikova M, Fedor Z, Sincak P (2011) Design of verbal and non-verbal human–robot interactive system. In: 2011 11th IEEE-RAS international conference on humanoid robots, pp 87–92

10.

Vircikova M, Sincak P (2010) Artificial intelligence in humanoid systems. FEI TU of Kosice

11.

Xia G, Tay J, Dannenberg R, Veloso M (2012) Autonomous robot dancing driven by beats and emotions of music. In: Proceedings of the 11th international conference on autonomous agents and multiagent systems (AAMAS 2012), pp 205–212

12.

Peng H, Chao F, Hu H, Zhou C, Li J (2015) Autonomous robotic choreography created by a humanoid robot. Submitt Int J Hum Robot, under review

13.

Vukobratovic M, Borovac B, Surla D, Stokic D (1990) Biped locomotion: dynamics, stability, control and application. In: Scientific fundamentals of robotics, vol. 7. Springer, p 349

14.

Nishiwaki K, Kagami S, Kuniyoshi Y, Inaba M, Inoue H (2002) Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP. In: Proceeding of the 2002 IEEE/RSJ international conference on intelligent robots and system (IROS 2002), pp 2684–2689

15.

Kudoh S, Shiratori T, Nakaoka S, Nakazawa A, Kanehiro F, Ikeuchi K (2008) Entertainment robot: learning from observation paradigm for humanoid robot dancing. In: 2008 IEEE/RSJ international conference on intelligent robots and systems (IROS 2008), workshop: art and robots

Titel: Autonomous Robotic Choreography Creation via Semi-interactive Evolutionary Computation
verfasst von: Hua Peng
Huosheng Hu
Fei Chao
Changle Zhou
Jing Li
Publikationsdatum: 01.11.2016
Verlag: Springer Netherlands
Erschienen in: International Journal of Social Robotics / Ausgabe 5/2016
Print ISSN: 1875-4791
Elektronische ISSN: 1875-4805
DOI: https://doi.org/10.1007/s12369-016-0355-x

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 5/2016

Learning Saliency Features for Face Detection and Recognition Using Multi-task Network

A Motivational Approach to Support Healthy Habits in Long-term Child–Robot Interaction

Dynamic Social Zone based Mobile Robot Navigation for Human Comfortable Safety in Social Environments

An Integrated Decision Making Approach for Adaptive Shared Control of Mobility Assistance Robots

Human–Robot Gesture Analysis for Objective Assessment of Autism Spectrum Disorder

Clinical Application of a Humanoid Robot in Pediatric Cancer Interventions

Premium Partner

Marktübersichten