Su Yeon Kye, Soon-Yong Hwang, Kyung Hee Oh, Jae Kwan Jun
Effects of a cancer prevention education program on elementary school students' knowledge, attitude, self-efficacy, and intentions in South Korea
Epidemiology and health
robot programming demonstration pbd become central programming demonstration pbd topic robotics spans across general research areas humanrobot interaction machine learning machine vision motor control robot pbd started 30 years ago grown importantly past decade rationale moving purely preprogrammed robots flexible userbased interfaces training robots perform task threefold first foremost pbd also referred imitation learning powerful mechanism reducing complexity search spaces learning observing either good bad examples one reduce search possible solution either starting search observed good solution local optima conversely eliminating search space known bad solution imitation learning thus powerful tool enhancing accelerating learning animals artifacts second imitation learning offers implicit means training machine explicit tedious programming task human user minimized eliminated fig 591 imitation learning thus natural means interacting machine would accessible lay people third studying modeling coupling perception action core imitation learning helps us understand mechanisms selforganization perception action could arise development reciprocal interaction perception action could explain competence motor control grounded rich structure perceptual variables vice versa processes perception develop means create successful actions pbd promises thus multiple one hand one hoped would make learning faster contrast tedious reinforcement learning methods trialsanderror learning hand one expected methods userfriendly would enhance application robots human daily environments recent progresses field review chapter show field made leap forward past decade toward goals addition anticipate promises may fulfilled soon section 591 presents brief historical overview robot programming demonstration pbd introducing several issues discussed later chapter section 592 reviews engineering approaches robot pbd emphasis machine learning approaches provide robot ability adapt learned skill different situations sect 5921 section discusses also different types representation one may use encode skill presents incremental learning techniques refine skill progressively sect 5924 section 5923 emphasizes importance give teacher active role learning presents different ways user convey cues robot help improve learning section 5924 discusses pbd jointly used learning strategies overcome limitations pbd section 593 reviews works take biological approach robot pbd develops models either cognitive neural processes imitation learning primates finally sect 594 lists various open issues robot pbd yet little explored field