NAO humanoid robot: Analysis of calibration techniques for robot sketch drawing

Singh, Avinash Kumar; Nandi, Gora Chand

doi:10.1016/j.robot.2016.01.009

Cited by 22 publications

(11 citation statements)

References 12 publications

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“…Un aspecto relevante de nuestra investigación fue analizar adecuadamente las variaciones de colores y cómo el umbral de un objeto, para poder especificar si la relevancia de la tonalidad afectó el tiempo de respuesta para detectar un objeto específico, lo que podría ayudar en un aspecto concreto al niño con daltonismo [7] como en figura 5.…”

Section: Análisis De Resultadosunclassified

“…Un robot humanoide NAO, puede ayudar a los niños con daltonismo a identificar correctamente los colores primarios y sus derivaciones porque sin la posibilidad de poder ver ese tipo de tonalidades, estarán expuestas a la información visual del peligro es por qué debería ser trabajar con un modelo de sonidos específicos para determinar a) b) peligro en parques, zoológicos y lugares de atracciones nocturnas como parques infantiles [7].…”

Section: Conclusionesunclassified

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Implementación de un modelo de reconocimiento visual para mejorar el modelo adaptativo en niños con daltonismo usando un robot Nao para niños vulnerables en una ciudad inteligente

Olivier¹,

Real²,

Escobedo³

et al. 2018

RCS

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Resumen. Usando un robot humanoide Nao, proponemos apoyar a niños que tienen una deficiencia de color específico llamado "daltonismo" que evita que este grupo minoritario esté alerta de posibles advertencias visuales en juegos, parques y zoológicos. La relevancia de nuestro estudio radica en el apoyo en situaciones de peligro por parte de niños con daltonismo, identificar amenazas con colores específicos y ayudar a los niños con daltonismo en entornos visuales, como los entornos asociados con ciudades inteligentes. Palabras clave: Niños con ceguera del color, reconocimiento de patrones, robot humanoide NAO.

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Section: Análisis De Resultadosunclassified

Section: Conclusionesunclassified

Implementación de un modelo de reconocimiento visual para mejorar el modelo adaptativo en niños con daltonismo usando un robot Nao para niños vulnerables en una ciudad inteligente

Olivier¹,

Real²,

Escobedo³

et al. 2018

RCS

View full text Add to dashboard Cite

show abstract

“…They can perform movements that could be dangerous or even unreasonable for human, exploring the optimization of human movements (e.g., motions, exercises or sports that are helpful for human health). The past decades, especially after ZMP criterion [20,21] and its relation to human walking stability being proposed in 1969, have seen great progress and advance in bio-inspired bipedal robots that aim at complexities such as ASIMO [22], NAO [23,24], Petman [25], Atlas [26], etc. Yet, most of those robots are incomparable with humans from a biomechanical point of view.…”

Section: Introductionmentioning

confidence: 99%

Towards a 3D passive dynamic walker to study ankle and toe functions during walking motion

Wang

Tobajas

Liu

et al. 2019

Robotics and Autonomous Systems

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“…Due to the way our task is defined, the aforementioned approaches used in drawing, writing or similar arm motions shall be briefly reviewed here. Singh et al uses a robot's inverse kinematics model for a point-to-point drawing scenario (Singh et al, 2015 ; Singh and Nandi, 2016 ). In their work, the absence of the concept of the motor program would result in the inability to transfer the produced movements into a new context.…”

Section: Introductionmentioning

confidence: 99%

Learning of Central Pattern Generator Coordination in Robot Drawing

2018

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How do robots learn to perform motor tasks in a specific condition and apply what they have learned in a new condition? This paper proposes a framework for motor coordination acquisition of a robot drawing straight lines within a part of the workspace. Then, it addresses transferring the acquired coordination into another area of the workspace while performing the same task. Motor patterns are generated by a Central Pattern Generator (CPG) model. The motor coordination for a given task is acquired by using a multi-objective optimization method that adjusts the CPGs' parameters involved in the coordination. To transfer the acquired motor coordination to the whole workspace we employed (1) a Self-Organizing Map that represents the end-effector coordination in the Cartesian space, and (2) an estimation method based on Inverse Distance Weighting that estimates the motor program parameters for each SOM neuron. After learning, the robot generalizes the acquired motor program along the SOM network. It is able therefore to draw lines from any point in the 2D workspace and with different orientations. Aside from the obvious distinctiveness of the proposed framework from those based on inverse kinematics typically leading to a point-to-point drawing, our approach also permits of transferring the motor program throughout the workspace.

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NAO humanoid robot: Analysis of calibration techniques for robot sketch drawing

Cited by 22 publications

References 12 publications

Implementación de un modelo de reconocimiento visual para mejorar el modelo adaptativo en niños con daltonismo usando un robot Nao para niños vulnerables en una ciudad inteligente

Implementación de un modelo de reconocimiento visual para mejorar el modelo adaptativo en niños con daltonismo usando un robot Nao para niños vulnerables en una ciudad inteligente

Towards a 3D passive dynamic walker to study ankle and toe functions during walking motion

Learning of Central Pattern Generator Coordination in Robot Drawing

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