Mobile Robots Navigation 2008 Part 2 pps

Mobile Robots Navigation 2008 Part 2 pps

Mobile Robots Navigation 2008 Part 2 pps

... view OpticalAzimuthSensorforIndoor Mobile Robot Navigation 37 - 2. 50 - 1 .25 0.00 1 .25 2. 5 0 L1000 L1500 L2000 L2500 L3000 setting angle (degrees) relative error (%) 0 30 60 90 12 0 1 50 1 80 21 0 24 0 2 70 300 330 0 90 180 27 0 360 0 30 60 90 12 0 1 50 1 80 21 0 24 0 2 70 300 330 setting ... angle switching Weighting maximum error (deg) 1.479 2. 860 0. 321 0...

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Mobile Robots Navigation 2008 Part 7 ppsx

Mobile Robots Navigation 2008 Part 7 ppsx

... Com- munications of the ACM, 18 (2) : 120 – 122 . Kragic, D., Petersson, L., and Christensen, H. I. (20 02) . Visually guided manipulation tasks . Robotics and Autonomous Systems, 40 (2- 3):193 20 3. Lazkano, E., Sierra, ... Inoue, H. (20 01). Footstep Planning Among Obstacles for Biped Robots, Proceedings of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp. 500-505 Mobi...

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Mobile Robots book 2011 Part 2 ppsx

Mobile Robots book 2011 Part 2 ppsx

... 981- 02- 49 02- 0, World Scientific, Singapore, pp. 55-90. Department of Defense (20 07). Unmanned systems soadmap, 20 07 -20 32, http://www.acq.osd.mil/usd/Unmanned %20 Systems %20 Roadmap .20 07 -20 32. pdf ... Interests out to 20 25, Conference Report CR 20 08- 07, April 20 08. Wagner, M., Chen, X.Q., Wang, W.H. and Chase J.G. (20 08) , “A novel wall climbing device based on Be...

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Mobile Robots Navigation 2008 Part 17 ppt

Mobile Robots Navigation 2008 Part 17 ppt

... Dangerous human Dangerous robo t CO 2 1 2 0 CO 1 2 1 H 2 S 1 2 1 CH 4 1 2 1 O 2 1 2 0 Mobile Robots Navigation6 62 -pi -pi /2 0 pi /2 pi 0 10 20 30 40 50 60 70 80 90 Angle [rad] to ... sensors x 1 , x 2 and x 3 . The second system, Mobile Robots Navigation6 38 As noted in figure 8, C1 is in radio coverage with R1 and C2; R1 is in radio coverage with R2 a...

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Mobile Robots Navigation 2008 Part 1 pot

Mobile Robots Navigation 2008 Part 1 pot

...                                     1 ))(1(1 1 ))(1(1 1 ))(1(1 22 22 2 22 22 2 22 22 2 yx yx y yx yx x yx yx S X (6) 3 .2 Calibration Calibration consists in the estimation of the parameters ...                                     1 ))(1(1 1 ))(1(1 1 ))(1(1 22 22 2 22 22 2...

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Mobile Robots Navigation 2008 Part 4 pdf

Mobile Robots Navigation 2008 Part 4 pdf

...         (11) and by using another pair, P 2 and P 3 , we have 2 3 2 2 3 2 2 3 3 2 3 3 2 2 3 2 3 2 3 2 2 3 2 2 3 3 2 3 3 2 2 3 2 3 , . x y x y c x y x y c P P P P x P P P P y   ... 1 2 1 1 2 2 1 2 2 1 2 1 2 1 2 1 2 1 1 1 2 2 1 2 2 1 2 1 2 , . x y x y c x y x y c P P P P x P P P P y                        ...

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Mobile Robots Navigation 2008 Part 6 pptx

Mobile Robots Navigation 2008 Part 6 pptx

... (Kuffner et al., 20 01), H7 11 Mobile Robots Navigation2 24 (Kuffner et al., 20 03), Asimo Honda (Chestnutt et al., 20 05; Michel et al., 20 05) and HRP -2 (Michel et al., 20 06) humanoid robots with ... 1997) . Navigation PlanningwithHuman-LikeApproach 22 5 (Kuffner et al., 20 03), Asimo Honda (Chestnutt et al., 20 05; Michel et al., 20 05) and HRP -2 (Michel et...

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Mobile Robots Navigation 2008 Part 10 docx

Mobile Robots Navigation 2008 Part 10 docx

... Int. Conf. on Intelligent Robots and Systems, IROS 20 08, Sept. 20 08, pp. 23 4 24 1. Mester, G. (20 09), Obstacle-slope avoidance and velocity control of wheeled mobile robots using fuzzy reasoning, ... IEEE Mediterranean Electrotechnical Conference, MELECON 20 06, pp. 124 6– 125 1, May 20 06. Mobile Robots Navigation3 54 Polkowski, L. (20 08) . A unified approach to gran...

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Mobile Robots Navigation 2008 Part 11 pdf

Mobile Robots Navigation 2008 Part 11 pdf

... PB Fig. 12. Membership functions of cascade fuzzy controller θ T (rad) e X (m) NB NS ZO PS PB NB -2. 5916 -2. 4738 -2. 356 -2. 23 82 -2. 120 4 NS -1.413 -1 .29 58 -1.178 -1.06 02 -0.9 424 ∆e X ZO -0 .23 56 -0.1178 ... 0.0 0.1178 0 .23 56 PS 0.9 424 1.06 02 1.178 1 .29 58 1.4136 PB 2. 120 4 2. 23 82 2.356 2. 4738 2. 5916 Table 1. 1 st stage fuzzy inference model φ (rad) e θ (rad) NB N...

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Materials Handbook 2008 Part 2 ppsx

Materials Handbook 2008 Part 2 ppsx

... strength is 80,000 to 20 0,000 lb/in 2 (5 52 to 1,379 MPa). The color is white, amber, gray, or greenish. The melting point is 27 70°F (1 521 °C), and specific gravity is 2. 4 to 2. 6. Chrysotile has ... lb/in 2 (103 GPa), ultimate tensile strength is 42, 700 lb/in 2 (29 4 MPa), tensile yield strength is 36,300 lb/in 2 (25 0 MPa), and elongation 12. 2%. Specific modulus is about...

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