Characteristics of Behavior of Robots with Emotion Model

Sato, Shigehiko; Nozawa, Akio; Ide, Hideto

doi:10.1541/ieejeiss.124.1390

Cited by 10 publications

(13 citation statements)

References 2 publications

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“…In [11], it is pointed that the circumplex model suggested a clear structure and has large heuristic value for the evaluation of emotion. The group of Ide and Nozawa used the concept of the circumplex model to design an emotion model to evoke interactions or cooperative behaviors of multiple autonomous robots [8,9]. Furthermore, Oudeyer and Kaplan used a curiosity model that considered the influence of time factor to raise the motivation of adaptive activities of robots [13].…”

Section: An Improved Internal Model Of Autonomous Robotmentioning

confidence: 99%

“…In the conventional emotion model [8], information of local environment around the robot is obtained by the observation and the information determines the degree of emotional vectors: ''pleasure'' and ''arousal'', which cause the motion of robot.…”

Section: A Conventional Emotion Model For Robotsmentioning

confidence: 99%

“…We also proposed a neuro-fuzzy reinforcement learning system for swarm formation and adaptive swarm behavior acquisition of the swarm robots in the previous work [4][5][6][7]. Meanwhile, Ide and Nozawa group proposed an internal model in [8,9], which drives autonomous robots avoiding obstacles and exploring a goal in the unknown environments using a psychological model proposed by Russell in [10,11]. Russell's ''circumplex model of affect'' assigns 8 kinds of major emotions on a two-dimensional map, and by psychological analysis of evidences, affective states such as pleasure, excitement, arousal, distress, misery, depression, sleepiness, and contentment are categorized orderly in a pleasure-arousal space (Fig.…”

Section: Introductionmentioning

confidence: 99%

“…1). The emotion model of robots given by [8] uses the factors of ''pleasure'' and ''arousal'', those are orthogonal axes concerning with all affective states, to decide a series of behavior rules for the autonomous robots. Degrees (values) of ''pleasure'' and ''arousal'' control the velocity of robots and obstacles.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Internal Model of Autonomous Robots by a Psychological Approach

et al. 2011

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To realize the autonomous exploration and the cooperation behaviors of robots in the unknown environment, an improved internal model to evoke robots actions using a psychological theory of Russell was proposed in our previous work. The improved model is based on an affect-action model proposed by Ide and Nozawa group whose basic principle is to control the movement of robots by the degrees of ''pleasure'' and ''arousal'' of one's own and the observation of others. To overcome the phenomena of ''deadlock'' and adapt to the complicated environment, ''curiosity'' factor is introduced into the basic model, and the action function is improved to be dynamically. This paper provides experimental comparison between the conventional model and our improved model with goalexploration simulations. The results showed that only robots with the improved model moved dynamically and successfully reached at multiple goal areas avoiding local traps and obstacles in the complicated environment.

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Section: An Improved Internal Model Of Autonomous Robotmentioning

confidence: 99%

Section: A Conventional Emotion Model For Robotsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Improved Internal Model of Autonomous Robots by a Psychological Approach

et al. 2011

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“…We have defined an emotion-driven autonomous mobile multirobot system with behavior generation rules based on attraction/avoidance patterns analogous to human emotional interaction, and have made attempts at multirobot behavior generation [9].…”

Section: Introductionmentioning

confidence: 99%

Emergence of burden sharing by robots equipped with an emotional model

Kusano¹,

Nozawa²,

Ide³

2008

Elect Comm in Japan

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SUMMARYCooperative multirobot systems are much superior to single-robot systems. They are able to adapt to various circumstances and they exhibit flexibility of response to various task requests. For effective functioning of a multirobot system, the robots must develop appropriate coordination and organization. In this context we consider the group behavior of insects, which lack advanced individual capabilities. For instance, ants and bees, which are considered social insects, use very simple means of communication such as pheromones or dance movements to perform systematic activities by interaction. The ants have evolved chemical communication, but humans have learned to communicate with words and gestures.In this study, a human emotion model based on psychological interaction was adapted to a multirobot system to achieve methods for organization of multiple robots. This study evaluates the behavior of real robots when this algorithm is used. Specifically the robots move back and forth on a test field with or without an obstacle. Despite the simple experimental design, the results indicate the occurrence of burden sharing which would be impossible with a centralized control system.

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