Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 6 pdf

... Length (m) )( ˆ mL error )( ˆ mL error 0.93 0.0290 -9 6% 1.0278 10.5% 1.14 0.128 -8 9.3% 1. 061 -7 .0% 1.31 0.1213 -9 0% 1.415 7.9% 1. 46 0.1577 -8 9% 1.50 2 .6% 4 Continuous Reinforcement Learning Algorithm for Skills Learning in an ... International Journal of Robotics Research, pages 36 6- 3 81, vol.14, No.4, 1995. 4 Choi A (1997), Real-Time fundamental freque...

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... global and/ or local object specific detail. Global details do not have a precise geometric location in- side the object, such as statistics of gray levels or colors, textures, etc. Lo- cal details ... 87,5 84 71 29 15 90 88,5 86 78 63 18,5 30 86 84 79,5 73 45,5 11,5 45 82 78,5 73,5 60 25,5 0 60 77 72 56, 5 32 12,5 0 75 65 ,5 52,5 37 16 0 0 1 .6. 1 Robot Localization Insi...

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... 16 Egido, V., Barber, R., Salichs, M.A., (2002) “Self-generation by a mo- bile robot of topological maps of corridors”. IEEE International Con- ference on Robotics and Automation, pp. 266 2-2 66 7. ... International Conference on Field and Service Ro- bots, pp. 6 1 -6 6. 6 Beccari, G.; Caselli, S.; Zanichelli, F. (1998) "Qualitative spatial rep- resentations from task-o...

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... Mueller R. Etienne-Cummings, J.Van der Spiegel and Mao-Zhu Zhang, “A foveated silicon retina for two-dimensional tracking”, IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, ... visual work space and finally, (5) the cost, size and performance 6 of the sensor. To develop a space-variant vision sensor, several attempts to combine peripheral and fo...

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... inertial and visual mechanisms in the stabilization of gaze in natural and artificial systems, From: Motion Vision Computational, Neural, and Echological Con- straints, Eds. J. M. Zanker and ... G. Sandini and V. Tagliasco, “A model of the early stages of human visual system : functional and topological transformation performed in the periferal visual field”, Biological Cyber-...

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... robot , IEEE Journal of Robotics and Automation, RA-2(1), pp. 14–23, 19 86. 168 G. Unal et al. Usage of this high level semantic information yields robust algorithms at a high computational ... consists of the robot going towards a goal which is a visual target. First of all, the robot moves the turret to center the target on the image and then the robot moves towards the...

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... 194 G. Unal et al. Fig. 5.15. A walking person (Frames shown L-R-top-bottom) is tracked by the polygonal tracker 180 G. Unal et al. Fig. 5.5. Two rays-swimming video noisy version ... 36, 60 , 63 are shown). Tracking with prediction using optical flow orthogonal component 5.2.2 Continuous Tracker with Smoothness Constraint Due to the well-known aperture problem, a local detector...

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... −u n z n −v n z n 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 5 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 4 t 11 t 12 t 13 t 21 t 22 t 23 t 31 t 32 t 33 t 41 t 42 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 5 = 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 4 x 1 x 2 : x n y 1 y 2 : y n z 1 z 2 : z n 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 5 (12) If ... center of mass m of the neighboring points is computed b...

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... region-growing method, projection method, and sculpting-based method. In the next sub-sections we will ex- plain each of these categories. 6. 4.1 Volumetric Methods The volumetric method consists of two stages. ... α-shape of a finite point set S is a polytope uniquely determined by S and the param- eter α that controls the level-of-detail. A subset T ⊆ S of size |T | = k +1with 0 ≤ k ≤ 2...

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