Generating whole body motions for a biped humanoid robot from captured human dances

Nakaoka, Shin’ichiro; Nakazawa, Atsushi; Yokoi, Kazuhito; Hirukawa, Hirohisa; Ikeuchi, Katsushi

doi:10.1109/robot.2003.1242196

Cited by 174 publications

(92 citation statements)

References 9 publications

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“…Nevertheless, generated motion on robot in this paper is sufficient since the generated motion still close to human eye ability. Also, the results are better than results as shown in references [1], [2], [9] since this paper used kinect with computation cost less than 0.5ms while others used multi cameras that took more computation cost on processing images. …”

Section: Motion Record and Generationmentioning

confidence: 65%

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Realistic Human Motion Preservation-Imitation Development on Robot with Kinect

Muis

Indrajit

2012

TELKOMNIKA

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Section: Motion Record and Generationmentioning

confidence: 65%

“…Hsin-yu et.al developed human motion imitation to humanoid robot through 13 mark points with webcam [2]. Nakaoka joint research group also performed traditional dances imitation to robot [9]. Eight cameras were used to obtain three dimensional informations of 30 mark points on actor.…”

Section: Introductionmentioning

confidence: 99%

Realistic Human Motion Preservation-Imitation Development on Robot with Kinect

Muis

Indrajit

2012

TELKOMNIKA

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“…A common approach to combining data driven stylistic movement with physics is to allow a controller to maintain balance while upper body movement (which is most noticeable and more intricate) is stylized [20,21]. A controller itself must rely on more than one physics technique if a range of transitional movements is to be accommodated (e.g., [1,4,10,22]).…”

Section: General Approachesmentioning

confidence: 99%

Dynamic Balancing and Walking for Real-Time 3D Characters

2011

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Fig. 1. Predictive stepping and posture correction due to random force disturbances being applied to the body.Abstract. This paper describes the real-time modeling of 3D skeletal motion with balancing properties. Our goal is to mimic human responsiveness when external forces are applied to the model. To achieve this we use an inverted pendulum as a basis for achieving a self-balancing model. We demonstrate responsiveness in stepping and posture control via a simplified biped skeletal model using our technique.

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“…The second of the problems referred above is usually known as the body correspondence problem [4,99,100] and is, in a sense, closely related and dependent on the first problem of mapping between perception and action.…”

Section: Imitation In Artificial Systemsmentioning

confidence: 99%

Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

Lopes

Melo

Montesano

et al. 2010

Studies in Computational Intelligence

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This chapter reviews several approaches to the problem of learning by imitation in robotics. We start by describing several cognitive processes identified in the literature as necessary for imitation. We then proceed by surveying different approaches to this problem, placing particular emphasys on methods whereby an agent first learns about its own body dynamics by means of self-exploration and then uses this knowledge about its own body to recognize the actions being performed by other agents. This general approach is related to the motor theory of perception, particularly to the mirror neurons found in primates. We distinguish three fundamental classes of methods, corresponding to three abstraction levels at which imitation can be addressed. As such, the methods surveyed herein exhibit behaviors that range from raw sensory-motor trajectory matching to high-level abstract task replication. We also discuss the impact that knowledge about the world and/or the demonstrator can have on the particular behaviors exhibited.

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Generating whole body motions for a biped humanoid robot from captured human dances

Cited by 174 publications

References 9 publications

Realistic Human Motion Preservation-Imitation Development on Robot with Kinect

Realistic Human Motion Preservation-Imitation Development on Robot with Kinect

Dynamic Balancing and Walking for Real-Time 3D Characters

Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

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