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Online robot learning by reward and punishment for a mobile robot

Online robot learning by reward and punishment for a mobile robot,10.1109/IRDS.2002.1041508,Dejvuth Suwimonteerabuth,Prabhas Chongstitvatana

Online robot learning by reward and punishment for a mobile robot   (Citations: 2)
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The existing robot learning methods require specifically defined goals. We aim to produce a more flexible behavior. We present our work which a human observer can influence the robot behavior. The robot learns by reward and punishment from a human in real-time. To examine the developed approach, we perform a control system for a color-following task as an example. A physical robot is used to perform the experiments. Experimental results show the emergence of learned behaviors. We discussed the factors that influence the learning process.
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