Behavior controlling system and behavior controlling method for robot

• US 20050197739A1
• Filed: 01/14/2005
• Published: 09/08/2005
• Est. Priority Date: 01/16/2004
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Sawada, Tsutomu, Fujita, Masahiro, Noda, Kuniaki, Ohtani, Shinya, Yoshiike, Yukiko
• Application Number:
  US11/035,811
• Publication Number:
  US 20050197739A1
• Time in Patent Office: Days
• US Class Current: 700/245
• CPC Class Codes: B25J 11/001 with emotions simulating means
• CPC Class Codes: G06N 3/008 based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour

Abstract

A behavior control system and a behavior control method for a robot apparatus are disclosed. The behavior control system and the behavior control method for a robot apparatus include a function of adaptively switching between a behavior selection standard, taking into account the own state, required of an autonomous robot, and a behavior selection standard, taking into account the state of a counterpart, responsive to a situation. A behavior selection control system in a robot apparatus includes a situation-dependent behavior layer (SBL), capable of selecting a particular behavior from plural behaviors, and outputting the so selected behavior, and an AL calculating unit 120 for calculating the AL (activation level), indicating the priority of execution of the behaviors, for behavior selection. This AL calculating unit 120 includes a self AL calculating unit 122 and a counterpart AL calculating unit 124 for calculating the self AL and the counterpart AL, and an AL integrating unit 125 for summing the self AL and the counterpart AL with weighting by a parameter used for determining whether emphasis is to be placed on the self state or on the counterpart state, to output an ultimate AL. The counterpart is a subject of interaction of the robot apparatus. The self AL and the counterpart AL indicate the priority of execution of the behavior with the self and with the co8unbterpart as a reference, respectively.

Claims

1. A behavior control system in a robot apparatus, adapted for acting autonomously, comprising

activation level calculating means for calculating an activation level indicating the priority of execution of behaviors stated in a plurality of behavior describing models;

and

behavior selection means for selecting at least one behavior based on said activation level;

said activation level calculating means including self activation level calculating means for calculating a self activation level, indicating the priority of execution of respective behaviors with the self as reference, counterpart activation level calculating means for calculating a counterpart activation level, indicating the priority of execution of the behaviors, with a counterpart, as subject of interaction, as reference, and activation level integrating means for calculating said activation level based on said self activation level and the counterpart activation level.

2. The behavior control system according to claim 1 comprising

external stimulus recognizing means for recognizing external stimuli to said robot apparatus from the sensor information;

self state management means for supervising the self state including at least plural sorts of self inner states;

counterpart state management means for supervising the counterpart state including at least plural sorts of counterpart inner states; and

parameter calculating means for calculating a parameter determining which of the self state and the counterpart state is to be made much of;

each of said behaviors being preset external stimuli and the preset self state associated with each other and preset external stimuli and the preset counterpart state associated with each other;

said self activation level calculating means calculating said self activation levels of respective behaviors based on preset external stimuli associated with said respective behaviors and on the preset self state;

said counterpart activation level calculating means calculating said counterpart activation levels of respective behaviors based on preset external stimuli associated with said respective behaviors and on the preset counterpart state;

said activation level integrating means integrating said self activation levels and said counterpart activation levels based on said parameter.

3. The behavior control system according to claim 2 wherein

said self state includes a plurality of sorts of self inner states and a plurality of sorts of self feelings and said counterpart state includes a plurality of sorts of counterpart inner states and a plurality of sorts of counterpart feelings.

4. The behavior control system according to claim 2 wherein

said parameter calculating means calculates said parameters based on said self state.

5. The behavior control system according to claim 2 wherein

said parameter calculating means calculates said parameters based on said counterpart state.

6. The behavior control system according to claim 2 wherein

said self activation level calculating means finds a self instinct value indicating the instinct for each behavior based on the current self state associated with each behavior and also finds an anticipated change in self satisfaction based on an anticipated change in the self state indicating a changed self state anticipated on the basis of said external stimuli;

said self activation level calculating means calculating said self activation level associated with each behavior based on said self instinct value and on said anticipated change in the self state;

said counterpart activation level calculating means finds a counterpart instinct value indicating the instinct for each behavior based on the current counterpart state associated with each behavior and also finds an anticipated change in counterpart satisfaction based on an anticipated change in the counterpart state indicating a changed counterpart state anticipated on the basis of said external stimuli;

said counterpart activation level calculating means calculating said counterpart activation level associated with each behavior based on said counterpart instinct value and on said anticipated change in the counterpart state.

7. The behavior control system according to claim 6 wherein

said self activation level calculating means finds the current self satisfaction from said current self state and calculates said self activation level for each behavior based on said self satisfaction, said anticipated changes in self satisfaction and on said self instinct value;

said counterpart activation level calculating means finds the current counterpart satisfaction from said current counterpart state and calculates said counterpart activation level for each behavior based on said counterpart satisfaction, said anticipated changes in counterpart satisfaction and on said counterpart instinct value.

8. The behavior control system according to claim 6 wherein

said self activation level calculating means refers to a database for calculating the self activation level, having stored therein said anticipated changes in the self state with respect to preset external stimuli associated with respective behaviors;

said counterpart activation level calculating means refers to a database for calculating the counterpart activation level, having stored therein said anticipated changes in the counterpart state with respect to preset external stimuli associated with respective behaviors.

9. A behavior control method in a robot apparatus, adapted for acting autonomously, comprising

an activation level calculating step for calculating an activation level indicating the priority of execution of behaviors stated in a plurality of behavior describing models;

and

a behavior selection step for selecting at least one behavior based on said activation level;

said activation level calculating step including self activation level calculating step for calculating a self activation level, indicating the priority of execution of respective behaviors with the self as reference, counterpart activation level calculating step for calculating a counterpart activation level, indicating the priority of execution of the behaviors, with a counterpart, as subject of interaction, as reference, and activation level integrating step for calculating said activation level based on said self activation level and the counterpart activation level.

10. The behavior control method according to claim 9 comprising

an external stimulus recognizing step for recognizing external stimuli to said robot apparatus from the sensor information;

a self state management step for supervising the self state including at least plural sorts of self inner states;

a counterpart state management step for supervising the counterpart state including at least plural sorts of counterpart inner states; and

a parameter calculating step for calculating a parameter determining which of the self state and the counterpart state is to be made much of;

each of said behaviors being preset external stimuli and the preset self state associated with each other and preset external stimuli and the preset counterpart state associated with each other;

said self activation level calculating step calculating said self activation levels of respective behaviors based on preset external stimuli associated with said respective behaviors and on the preset self state;

said counterpart activation level calculating step calculating said counterpart activation levels of respective behaviors based on preset external stimuli associated with said respective behaviors and on the preset counterpart state;

said activation level integrating step integrating said self activation levels and said counterpart activation levels based on said parameter.

11. The behavior control method according to claim 10 wherein

said self state includes a plurality of sorts of self inner states and a plurality of sorts of self feelings and said counterpart state includes a plurality of sorts of counterpart inner states and a plurality of sorts of counterpart feelings.

12. The behavior control method according to claim 10 wherein

said parameter calculating step calculates said parameters based on said self state.

13. The behavior control method according to claim 10 wherein

said parameter calculating step calculates said parameters based on said counterpart state.

14. The behavior control method according to claim 10 wherein

said self activation level calculating step finds a self instinct value indicating the instinct for each behavior based on the current self state associated with each behavior and also finds an anticipated change in self satisfaction based on an anticipated change in the self state indicating a changed self state anticipated on the basis of said external stimuli;

said self activation level calculating step calculating said self activation level associated with each behavior based on said self instinct value and on said anticipated change in the self state;

said counterpart activation level calculating step finds a counterpart instinct value indicating the instinct for each behavior based on the current counterpart state associated with each behavior and also finds an anticipated change in counterpart satisfaction based on an anticipated change in the counterpart state indicating a changed counterpart state anticipated on the basis of said external stimuli;

said counterpart activation level calculating step calculating said counterpart activation level associated with each behavior based on said counterpart instinct value and on said anticipated change in the counterpart state.

15. The behavior control method according to claim 14 wherein

said self activation level calculating step finds the current self satisfaction from said current self state and calculates said self activation level for each behavior based on said self satisfaction, said anticipated changes in self satisfaction and on said self instinct value;

said counterpart activation level calculating step finds the current counterpart satisfaction from said current counterpart state and calculates said counterpart activation level for each behavior based on said counterpart satisfaction, said anticipated changes in counterpart satisfaction and on said counterpart instinct value.