Download Robot Intelligence Technology and Applications 2012: An by Jongdae Jung, Hyoung-Ki Lee, Hyun Myung (auth.), Jong-Hwan PDF

By Jongdae Jung, Hyoung-Ki Lee, Hyun Myung (auth.), Jong-Hwan Kim, Eric T. Matson, Hyun Myung, Peter Xu (eds.)

In contemporary years, robots were equipped in response to cognitive structure which has been constructed to version human cognitive skill. The cognitive structure could be a foundation for intelligence know-how to generate robotic intelligence. during this edited ebook the robotic intelligence is assessed into six different types: cognitive intelligence, social intelligence, behavioral intelligence, ambient intelligence, collective intelligence and genetic intelligence. This type categorizes the intelligence of robots in keeping with the various features of information and the facility to behave intentionally due to such information. This ebook goals at serving researchers and practitioners with a well timed dissemination of the new development on robotic intelligence know-how and its functions, in accordance with a set of papers awarded on the 1st foreign convention on robotic Intelligence expertise and purposes (RiTA), held in Gwangju, Korea, December 16-18, 2012. For a greater clarity, this version has the entire one hundred and one papers grouped into three chapters: bankruptcy I: Cognitive Intelligence, Social Intelligence and Behavioral Intelligence, bankruptcy II: Ambient Intelligence, Collective Intelligence and Genetic Intelligence, bankruptcy III: clever robotic applied sciences and Applications.

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Also, obstacle avoidance algorithms will be incorporated into the proposed obstacle detection algorithm for navigation in real environment. References 1. : Stereo based obstacle detection with uncertainty in rough terrain. In: IEEE Intelligent Vehicles Symposium, pp. 1005–1012 (2007) 2. : A single camera based rear obstacle detection system. In: IEEE Intelligent Vehicles Symposium, pp. 485–490 (2011) 3. : 3d detection of obstacle distribution and mapping for tactile stimulation. In: IEEE International Conference on Mechatronics, pp.

We chose several angular ranges to recognize different structures of images and to enrich the semantic description of the edge information. , 180◦ and 360◦ to be optimal in our dataset. An angular range of 180◦ maps angles between 180◦ and 360◦ to the range between 0 and 180 degrees. We named the two resulting descriptors HG 180G and HG 360G to represent the HTOG with intensity information. 4 Block-Based SIFT (Scale Invariant Feature Transform) SIFT[4] describes an image by constructing histograms of gradient orientations around a set of interest points.

Bin Samusudin, and K. Shibata Fig. 3∼Fig. 6 show two sample agent behaviors after learning. 1), and the direction of the opened door is downward at first and then right in order. Fig. 3∼Fig. 6 show the agent trajectory, the Q-value outputs, and the Actor outputs, a part of the outputs in the top hidden layer at each step respectively. As shown in Fig. 3, the agent moved on switches and pushed them and arrived at the third room. In both cases, when the agent pushed the second switch, the agent cannot know which door is newly opened only from the present sensor signals.

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