Robot dan Manusia
Emotive Qualities In Robot Speech PDF Print E-mail
Written by Rizki Noor Hidayat Wijayaź   

Cynthia Breazeal

Abstract

This paper explores the expression of emotion in syn- thesized speech for an anthropomorphic robot. We have adapted several key emotional correlates of human speech to the robot*s speech synthesizer to allow the robot to speak in either an angry, calm, disgusted, fearful, happy, sad, or surprised manner. We have evaluated our approach thor- ough acoustic analysis of the speech patters for each vocal a

ect and have studied how well human subjects perceive the intended a

ect.

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A Context-dependent Attention System For A Social Robot PDF Print E-mail
Written by Rizki Noor Hidayat Wijayaź   

Abstract

This paper presents part of an on-going project to integrate perception, attention, drives, emotions, behavior arbitration, and expressive acts for a robot designed to interact socially with humans. We present the design of a visual attention system based on a model of human visual search behavior from Wolfe (1994). The attention system integrates perceptions (motion detection, color saliency, and face popouts) with habituation efects and influences from the robot*s motivational and behavioral state to create a context-dependent attention activation map. This activation map is used to direct eye movements and to satiate the drives of the motivational system.

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Learning Humanoid Arm Gestures PDF Print E-mail
Written by Rizki Noor Hidayat Wijayaź   

Bryan Adams Humanoid Robotics Group MIT Artificial Intelligence Laboratory 200 Technology Sq. Cambridge, MA 02139

Abstract

While biological motion control systems are generally simple and robust, their robotic analogs tend to be just the opposite. While function has driven many of the control architectures to date, we feel that a biologically-inspired system for monitoring the energy consumption of virtual muscles can lead to the development of more humanoid motion and gesture.

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Development Of The Mirror System: A Computational Model PDF Print E-mail
Written by Rizki Noor Hidayat Wijayaź   

Giorgio Metta (1,2), Lorenzo Natale (1), Satyajit Rao (1), Giulio Sandini (1) (1) LIRA-Lab, DIST, University of Genova, Italy (2) MIT, AI-Lab, Cambridge, MA, USA

The project

We are studying the development of the mirror system from a computational perspective with the ultimate goal of realizing a physical implementation. We use an anthropomorphic robot as development platform. The body of the robot provides the physical interaction between the computational structure and the environment.

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Head Pose Estimation Without Manual Initialization PDF Print E-mail
Written by Rizki Noor Hidayat Wijayaź   

Paul Fitzpatrick: AI Lab, MIT, Cambridge, USA

Abstract. This paper describes a fully automatic system for recovering the rigid components of head pose. It follows the conventional approach of tracking pose changes relative to a reference configuration. Rather than being supplied manually, here the reference configuration is determined by directly estimating pose from the image when the head is close to a frontal presentation. Tracking of pose is done in an intermediate coordinate system which minimizes the impact of errors in estimates of the 3D shape of the head being tracked.

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