T. Inamura, M. Inaba, and H. Inoue
Acquisition of probabilistic behavior decision model based on the interactive teaching method
In Proceedings of the Ninth International Conference on Advanced Robotics(ICAR'99), 1999
Abstract:
In this paper, we propose a novel method for mobile robots to acquire new autonomous behaviors gradually based on interaction between human and robots. In this method, behavior decision models are constructed using statistical process for experiences of interaction and teaching, and the robot expresses sureness of its own decision using stochastic reasoning.
The robot not only decides behavior using the sureness, but also makes suggestions and questions for the user using the sureness.
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