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Informations générales |
| Auteur |
Jiang, Yanrong; Xiao, Nanfeng; Han, Jianhua |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
It is still a challenge for robots to interact with
complex environments in a smooth and natural manner.
The robot should be aware of its surroundings and inner
status to make decisions accordingly and appropriately.
Contexts benefit the interaction a lot, such as avoiding
frequent interruptions (e.g., the explicit inputting requests)
and thus are essential for interaction. Other challenges,
such as shifting attentional focus to a more important
stimulus, etc., are also crucial in interaction control. This
paper presents a hybrid automatic control approach for
interaction, as well as its integration, with these multiple
important factors, aiming at performing natural, humanlike
interactions in robots. In particular, a novel approach
of architectural attentional control, based on affection is
presented, which attempts to shift the attentional focus in a
natural manner. Context‐aware computing is combined
with interaction to endow the robot with proactive abilities.
The long‐term interaction control approaches are
described. Emotion and personality are introduced into the
interaction and their influence mechanism on interaction is
explored. We implemented the proposal in an interactive
head robot (IHR) and the experimental results indicate the
effectiveness. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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