Autonomous behavior control of virtual actors based on the AIR model

2002 ◽  
Author(s):  
J. Sato ◽  
T. Miyasato
Keyword(s):  
Behavior Control ◽  
Autonomous Behavior ◽  
Virtual Actors

scholarly journals Autonomous Behavior Intelligence Control of Self-Evolution Mobile Robot for High-Voltage Transmission Line in Complex Smart Grid

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Wei Jiang ◽  
Gan Zuo ◽  
De Hua Zou ◽  
Hongjun Li ◽  
Jiu Jiang Yan ◽  
...  
Keyword(s):  
Smart Grid ◽  
Transmission Line ◽  
High Voltage ◽  
Power Transmission ◽  
Control Method ◽  
Behavior Control ◽  
High Voltage Transmission Line ◽  
Autonomous Operation ◽  
Autonomous Behavior ◽  
High Voltage Transmission

In complex smart grid, the power maintenance robot is important equipment to ensure the reliable operation of high-voltage lines and it is a useful exploration to realize high-quality power transmission. In view of the increasingly prominent contradiction between the robot single operation function and the diversification of power grid maintenance operations, additional with the robot weak autonomous operation and intelligent behavior ability, this paper proposes a new configuration of a reconfigurable power robot with terminal functions and its autonomous operation behavior control method for the three typical tasks which are the high-voltage transmission line insulators, drainage plates, and dampers maintenance. Through the analysis and planning of the robot operation behavior, the robot finite state machine (FSM) model in the three operation states has been established. Through the introduction of the state transfer function in the FSM, the automatic switching control between the robot key operation states can be realized, and the robot motion planning can be optimized. The movement and working flow of the robot improve the robot operation intelligence and operation efficiency. Based on this, the robot autonomous operation control system has been designed and the robot physical prototype has been developed for three maintenance tasks of insulators, drainage plates, and dampers. Finally, simulation experiments and field operation tests verify the effectiveness and engineering practicability of the proposed method. Compared with traditional manual control, the autonomous behavior control method can significantly improve the robot operational efficiency and operational intelligence. At the same time, the robot multitask function and autonomous behavior control under different tasks can be realized and the method has strong versatility for different task objects and different line environments. The research and its promotion have important theoretical significance and practical application value for the power system operation and maintenance integration management.

A Survey on Behavior Control Architectures for Social Robots in Healthcare Interventions

2017 ◽  
Vol 14 (04) ◽  
pp. 1750021 ◽  
Author(s):  
Hoang-Long Cao ◽  
Pablo Gómez Esteban ◽  
Albert De Beir ◽  
Ramona Simut ◽  
Greet van de Perre ◽  
...  
Keyword(s):  
Social Robots ◽  
Human Robot Interaction ◽  
Behavior Control ◽  
Robot Interaction ◽  
Research Attention ◽  
Wizard Of Oz ◽  
Autonomous Behavior ◽  
Robot Behavior ◽  
Healthcare Interventions ◽  
Rat Study

The use of Robot-Assisted Therapy (RAT) in healthcare interventions has increasingly received research attention. However, a lot of RAT studies are conducted under Wizard of Oz (WoZ) techniques in which the robots are teleoperated or pre-programmed. The trend of RAT is moving towards (partially) autonomous control in which the robot behavior control architecture plays a significant role in creating effective human–robot interaction by engaging and motivating human users into the therapeutic processes. This paper describes the state-of-the-art of the autonomous behavior control architectures currently developed for social robots in healthcare interventions, considering both clinical and exploratory studies. We also present certain requirements that an architecture used in RAT study should acquire, which provide roboticists and therapists an inspiration to orient their designs and implementations on the basis of their targeted RAT applications.

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

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