Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 13 pdf
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 13 pdf
... once, P.E.Rybskietal.: Using Visual Features for Building and Localizing within Topological Maps www.springerlink.com c Springer-Verlag Berlin Heidelberg 2005 of Indoor Environments, Studies in Computational ... Castejón et al. 238 246 6 D. Blanco, B.L. Boada, L. Moreno, and M.A. Salichs, Local mapping from on-line laser voronoi extraction, IEEE/RSJ International Confer- ence on...
Ngày tải lên: 10/08/2014, 04:22
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 10 pdf
... obtained after training. Rule confidences are shown in brackets in the following order: (i) weights after off-line supervised training; (ii) weights found from on-line reinforcement learning ... learning with back-propagation training; ii. on-line reinforcement learning; iii. hybrid of supervised and reinforcement learning. In (i), we learn ‘from scratch’ by back-propagation using...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 6 ppt
... on Intelligent Robots and Sys- tems, pp.88 3-8 88, 2001. 19. D. Jung and A. Zelinsky, "Integrating spatial and topological navigation in a behaviour-based multi -robot application," in ... navigating the labora- tory environment, using the recognition of visual landmarks and a topo- logical map to perform self-localisation. The SVALR architecture is capa- ble of ach...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 7 ppsx
... corresponding point in the fol- lowing image, t t . Let the 2-D projection of the straight lines connect- ing these pairs of points be referred to as the displacement field, U , asso- ciated ... croscope is shown in Fig. 3.10. g is called the optical tube length and is the distance between the posterior principal focal plane of the objective and the anterior principal focal pla...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 14 ppsx
... feature matching algo- rithm was worst at finding the best match between an image in the training Using Visual Features for Building and Localizing within Topological Maps 263 7.4.2 Determining the ... how the algorithm works. The original data reflects the errors in the odometric readings of the robot. In Step 1, P. E. Rybski et al. Using Visual Features for Building and Localiz...
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