Advances in Human-Robot Interaction by I. Kulyukin

By I. Kulyukin

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Mukaibo et al. , 2005). The sensor is able to identify the differences in roughness, softness and frictional properties of different materials and quantitatively detect the texture information of a surface. Hosoda et al. , 2006). With force signals from strain gauges and the variances of the signals from the PVDF films produced by pushing and rubbing movements, this anthropomorphic fingertip can discriminate five different types of materials. , 2006), a texture sensor with embedded PVDF films was developed, which can discriminate the fine textures on different types of sandpapers based on the patterns of responses in the frequency domain.

YvKB 2006. Ankara, Turkey: TBD Publications, in Turkish. , & Amintabar, A. (09-13 October 2006). Security through Traffic Network:Tracking of Missing Vehicles and Routing in TMIS using Semantic Web Services. The Second IEEE International Conference on Technologies for Homeland Security and Safety. Istanbul, Turkey. , & Rahnama, B. (30 Nov - 1 Dec 2006). Applying Semantic Web in Engineering a Modular Architecture for Design and Implementation of a Cooperative Labyrinth Discovery Robot. 4th FAE International Symposium on Computer Science and Engineering, (pp.

Therefore, at least three robots are needed at of the masked robot are calculated accordingly. each side. Consequently, l and 2 sin (7) sin sin sin sin Towards Semantically Intelligent Robots 33 In case of having no friend in a proper position to solve the problem presented in Fig. 16 (B), the record and estimation of position of friends are considered. is known for all friends Comparing SLAM records generated at both scanner and masked robot at certain timing which is base on subtraction of timestamp of two consequent records provides an estimated record for the masked robot.

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