An Approach to the Synthesis of Humanoid Robot Dance Using Non-interactive Evolutionary Techniques

Eaton, Malachy

doi:10.1109/smc.2013.563

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…Despite popularity of Lego Mindstorms, there are already different kinds of educational robots, i.e. humanoid robots -the Aldebaran NAO robots (Gelin, 2017), Robovie (Ishiguro et al, 2003) or Bioloid (Eaton, 2013), more simple Bee-Bot (Pekárová, 2008) and Dash and Dot (Eguchi, 2017), and more complex VEX robot (Tuluri, 2017). However, according to (Toivonen et al, 2018) Lego Mindstorms EV3 is one of the most popular, moderately sophisticated, flexible in terms of functions, and sufficiently affordable educational robotics platforms with its unique comparative advantages, i.e.…”

Section: Phase 2 Programming and Roboticsmentioning

confidence: 99%

A Holistic Digital Game-Based Learning Approach to Out-of-School Primary Programming Education

Panskyi¹,

Rowińska²

2021

Informatics in Education

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Section: Phase 2 Programming and Roboticsmentioning

confidence: 99%

A Holistic Digital Game-Based Learning Approach to Out-of-School Primary Programming Education

Panskyi¹,

Rowińska²

2021

Informatics in Education

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“…It was confirmed that the best feature combination was kinematic + region + spatial distribution of color block, and the best machine aesthetic model obtained an 81.8% correct ratio on AD Tree. Furthermore, Eaton [18] used the method of "Performance Competence Evaluation Measure" [19], as a specific implementation of fitness function in traditional evolutionary computation, to evaluate the aesthetics of robotic dance motions. A synthesis approach to humanoid robotic dance was then proposed.…”

Section: Aesthetic Evaluation On Robotic Dance Objectmentioning

confidence: 99%

Creating a Computable Cognitive Model of Visual Aesthetics for Automatic Aesthetics Evaluation of Robotic Dance Poses

Peng

et al. 2019

Symmetry

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Inspired by human dancers who can evaluate the aesthetics of their own dance poses through mirror observation, this paper presents a corresponding mechanism for robots to improve their cognitive and autonomous abilities. Essentially, the proposed mechanism is a brain-like intelligent system that is symmetrical to the visual cognitive nervous system of the human brain. Specifically, a computable cognitive model of visual aesthetics is developed using the two important aesthetic cognitive neural models of the human brain, which is then applied in the automatic aesthetics evaluation of robotic dance poses. Three kinds of features (color, shape and orientation) are extracted in a manner similar to the visual feature elements extracted by human brains. After applying machine learning methods in different feature combinations, machine aesthetics models are built for automatic evaluation of robotic dance poses. The simulation results show that our approach can process visual information effectively by cognitive computation, and achieved a very good evaluation performance of automatic aesthetics.

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“…In the creation of robotic choreography, most popular methods include random generation [6], mapping rule [7,8], chaos dynamics [9], interactive reinforcement learning [10], evolutionary computation [11][12][13][14][15][16], and the Markov chain model [17,18]. This section will briefly review these creation methods.…”

Section: Related Workmentioning

confidence: 99%

“…Eaton [16] proposed an approach for the synthesis of humanoid robot dance with TEC, and built its fitness function, which referred to "Performance Competence Evaluation Measure" [19], based on the sum of all the movement values over all the joints and the time the robot remained standing. Vircikova et al [11][12][13][14] introduced the interactive genetic algorithm as the specific implementation of IEC into robotic choreography, and constructed a multi-robot system to evolve the aesthetic dance motions for a humanoid robot.…”

Section: Related Workmentioning

confidence: 99%

Robotic Choreography Inspired by the Method of Human Dance Creation

Peng

et al. 2018

Information

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In general, human dance is created by the imagination and innovativeness of human dancers, which in turn provides an inspiration for robotic choreography generation. This paper proposes a novel mechanism for a humanoid robot to create good choreography autonomously with the imagination of human dance. Such a mechanism combines innovativeness with the characteristic preservation of human dance, and enables a humanoid robot to present the characteristics of “imitation, memory, imagination, process and combination”. The proposed mechanism has been implemented on a real humanoid robot, NAO, to verify its feasibility and performance. Experimental results are presented to demonstrate good performance of the proposed mechanism.

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An Approach to the Synthesis of Humanoid Robot Dance Using Non-interactive Evolutionary Techniques

Cited by 15 publications

References 10 publications

A Holistic Digital Game-Based Learning Approach to Out-of-School Primary Programming Education

A Holistic Digital Game-Based Learning Approach to Out-of-School Primary Programming Education

Creating a Computable Cognitive Model of Visual Aesthetics for Automatic Aesthetics Evaluation of Robotic Dance Poses

Robotic Choreography Inspired by the Method of Human Dance Creation

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