Abstract
This paper presents a four legs robotic dog with an interactive-learning system. There are four sub-systems; including physiology, feeling, learning, and behavior are built on the robot for the interactive-learning system. Three different feelings are designed in the robot. The batteries and the motors statuses are transferred to feeling of hunger and fatigue of the pet robot. Curiosity, which let the pet robot want to play with human, is also one feeling for the pet robot. The pet robot doesn't know how to react when it feels something. A Neural-Network system is implemented to build the relationship between the behaviours and the feeling. As frequency of interaction increasing, the pet robot is able to choose the right behaviours more often. Experimental results show the efficiency of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 18th IFAC World Congress |
| Publisher | IFAC Secretariat |
| Pages | 12686-12691 |
| Number of pages | 6 |
| Volume | 44 |
| Edition | 1 PART 1 |
| ISBN (Print) | 9783902661937 |
| DOIs | |
| Publication status | Published - 2011 Jan 1 |
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Keywords
- Interactive-learning
- Neural-network
- Pet robot
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
An interactive-learning system for pet robots. / Cheng, Chi Tai; Yang, Yu Ting; Baltes, Hansjoerg (Jacky); Wong, Ching Chang.
Proceedings of the 18th IFAC World Congress. Vol. 44 1 PART 1. ed. IFAC Secretariat, 2011. p. 12686-12691.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An interactive-learning system for pet robots
AU - Cheng, Chi Tai
AU - Yang, Yu Ting
AU - Baltes, Hansjoerg (Jacky)
AU - Wong, Ching Chang
PY - 2011/1/1
Y1 - 2011/1/1
N2 - This paper presents a four legs robotic dog with an interactive-learning system. There are four sub-systems; including physiology, feeling, learning, and behavior are built on the robot for the interactive-learning system. Three different feelings are designed in the robot. The batteries and the motors statuses are transferred to feeling of hunger and fatigue of the pet robot. Curiosity, which let the pet robot want to play with human, is also one feeling for the pet robot. The pet robot doesn't know how to react when it feels something. A Neural-Network system is implemented to build the relationship between the behaviours and the feeling. As frequency of interaction increasing, the pet robot is able to choose the right behaviours more often. Experimental results show the efficiency of the proposed method.
AB - This paper presents a four legs robotic dog with an interactive-learning system. There are four sub-systems; including physiology, feeling, learning, and behavior are built on the robot for the interactive-learning system. Three different feelings are designed in the robot. The batteries and the motors statuses are transferred to feeling of hunger and fatigue of the pet robot. Curiosity, which let the pet robot want to play with human, is also one feeling for the pet robot. The pet robot doesn't know how to react when it feels something. A Neural-Network system is implemented to build the relationship between the behaviours and the feeling. As frequency of interaction increasing, the pet robot is able to choose the right behaviours more often. Experimental results show the efficiency of the proposed method.
KW - Interactive-learning
KW - Neural-network
KW - Pet robot
UR - http://www.scopus.com/inward/record.url?scp=84866745442&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866745442&partnerID=8YFLogxK
U2 - 10.3182/20110828-6-IT-1002.01510
DO - 10.3182/20110828-6-IT-1002.01510
M3 - Conference contribution
AN - SCOPUS:84866745442
SN - 9783902661937
VL - 44
SP - 12686
EP - 12691
BT - Proceedings of the 18th IFAC World Congress
PB - IFAC Secretariat
ER -