Perceptual system and action system of a mobile robot with structured intelligence

Kubota, Naoyuki; Masuta, Hiroyuki; Kojima, Fumio; Fukuda, Toshio

doi:10.1109/fuzz.2002.1006739

Cited by 7 publications

(1 citation statement)

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“…By giving the pet robot an emotional model, the owner can easily appreciate the internal condition of the robot and be familiar with it. Furthermore, the emotional model can be expressed more deeply than a feeling model, because emotion is generally regarded as the component of feeling [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

A path planning behavior learning of six legged robot based on human teaching model

Sulistijono

Kurniawan

Setiawardhana

et al. 2013

2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS)

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This paper deals with a six legged robot path planning behavior learning based on human teaching. The six legged robot requires several capabilities such as perceiving, acting, communicating, and surviving. Furthermore, the six legged robot should learn various behaviors through the interaction with owner (human). This paper focuses on teaching path planning to the robot. Basically, the owner can teach the path planning by simple communication based on trial and error. Human teaches the path planning by using his hand. It will give an input of fuzzy controller used for the input and output movement of legged robot. Generally, legged robot will learn some pattern by a number of learning iteration. In every iterations the robot will have some punishment and reward coefficient of reinforcement learning used to generate better population of Genetic Algorithm until it can reach its minimum level of punishment. Experimental result shows that the legged robot can learn the path planning using the proposed method through the interaction with owner. I. INTRODUCTIONVarious types of pet robots, amusement robots, and partner robots have been developed for the next generation society. A human-friendly partner robot requires the capabilities of perceiving, acting, communicating, learning, and surviving, while interacting with a human. Especially, the robot should perform human recognition, voice recognition, and gesture recognition in order to realize natural communication with a human, but it is very difficult for the robot to realize these functions successfully in real world conditions. The communication is very important for the owner in order to make friendship with the pet robot. The owner recognizes the communication with the pet robot by observing its expression and reaction. The expression is realized by reflex or emotion-based actions based on moving, dancing, sounding, speaking, and lighting. While the reflex behavior models do not explicitly have an emotional model, the emotion-based behavior models have internal emotional model. By giving the pet robot an emotional model, the owner can easily appreciate the internal condition of the robot and be familiar with it. Furthermore, the emotional model can be expressed more deeply than a feeling model, because emotion is generally regarded as the component of feeling [1]- [3].The emotional model indirectly makes decision based on the external information. Emotional parameters are updated by the sensed information. Furthermore, the pet robot should

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Section: Introductionmentioning

confidence: 99%