Robot Soccer Part 6 doc

Robot Soccer Part 6 doc

Robot Soccer Part 6 doc

... (2007). Learning to Play Soccer with the Simple Soccer Robot Soccer Simulator, In : Robotic Soccer, Lima, P. (Ed.), pp. 281-3 06, Itech Education and Publishing, ISBN 978-3-90 261 3-21-9, Vienna, Austria. ... J. (20 06) . An agent-based approach to introductory robotics using robotic soccer. International Journal of Robotics and Automation, Vol. 21, Issue 2 (April 20 06) , pp. 1...
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Advanced Strategies For Robot Manipulators Part 6 docx

Advanced Strategies For Robot Manipulators Part 6 docx

... Strategies for Robot Manipulators 166 (a) (b) Fig. 24. (sim1) Control commands (a) FSM_PID (b) NNSM_PID Sliding Mode Control of Robot Manipulators via Intelligent Approaches 165 ... following condition: max iisi gf τ >+ (34) Advanced Strategies for Robot Manipulators 1 56 and mr g τ τ = (66 ) where r g is the diagonal matrix of reduction ratio....
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Advances in Human Robot Interaction Part 6 doc

Advances in Human Robot Interaction Part 6 doc

... the order of conditions. We divided the twelve participants into participants who participated in Case O1 (seven persons) and participants who participated in Case O2 (five persons) and analyzed ... the robot beeps at “on” and ceases at “off” (Fig. 6) . • Back and forth motion: The robot moves back and forward, 10 mm back and 10 mm forth based on “on” and “off” (Fig. 6) . Fig....
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Advances in Robot Navigation Part 6 doc

Advances in Robot Navigation Part 6 doc

... (AAAI- 96) , 19 96, pp. 944–950. [38] S. Thrun and A. Bücken, “Learning m aps or indoor mobile robot navigation.” CMU-CS- 96- 121, Carnegie Mellon University, Pittsburgh, PA, Tech. Rep., 19 96. [39] ... robots.” in Proceedings of the IEEE International Conference on Robotics and Automation, 1995, pp. 2900–29 06. [25] G. Oriolo, G. Ulivi and M. Vendittelli, “Fuzzy maps: A new tool for mobi...
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Robot Surgery Part 6 docx

Robot Surgery Part 6 docx

... 383.8/ 266 .3* 190.1 / 191.1 † 5.2/5.5 Length of stay (day) NA ‡ 6. 0 /6. 6 7.7 / 8.3 5.7 / 7 .6* First flatus (day) NA 1 .67 / 1.48 1.9 / 2.1 † 40.0 /66 .3 Blood loss (ml) 21 / 37 ‡ 90.4 /65 .4 NA ... 15 0 / 0 19 / 26 56 / 57 APR 1 / 0 0 / 0 1 / 7 0 / 0 Others 4 / 6 0 / 0 2 / 5 0 / 0 Conversion (No.) (%) 6( 11.3)/ 3(5 .6) 2 (6. 6)/2(7.4) 2(4) / 4(4) 0(0.0) / 6( 10.5)*...
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Robot Manipulator Control Theory and Practice - Frank L.Lewis Part 6 doc

Robot Manipulator Control Theory and Practice - Frank L.Lewis Part 6 doc

... Inc. Computed-Torque Control212 robot controls designer to understand. See [Franklin et al. 19 86] for a reference on classical control theory. A simplified dynamical model of a robot arm with electric ... feedback, (4.4.13) Then the overall robot arm input becomes (4.4.14) This controller is shown in Figure 4.4 .6 with K i =0. The closed-loop error dynamics are (4.4.15) or in state-sp...
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Multi-Robot Systems From Swarms to Intelligent Automata - Parker et al (Eds) Part 6 docx

Multi-Robot Systems From Swarms to Intelligent Automata - Parker et al (Eds) Part 6 docx

... HL HR HR 0 . 5 p = 0.21 p = 0.29 0 . 8 4 5 0.155 0.155 0 . 033 p = 0.12 p = 0. 06 p = 0. 06 p = 0.04 p = 0. 06 p = 0. 06 0 . 5 HL HL HL HR H HR HL L H HR HR HL HL HL HR HR HR HR HL L p = 1 . 0 . ... When the robots are not able to see all the tar g ets simultaneousl y ,ne g- a ti v e information allo w s the robots to infer information about the unobser v e d tar g ets. While each r...
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Robot Learning 2010 Part 6 docx

Robot Learning 2010 Part 6 docx

... ± 0.03 × 10 6 469 ± 3 MBIE-EB 3.13 ± 0.03 × 10 6 558 ± 3 full-matrix UP 2.59 ± 0.08 × 10 6 521 ± 20 DUIPI 0 .62 ± 0.03 × 10 6 554 ± 10 DUIPI-QM 3. 16 ± 0.03 × 10 6 565 ± 11 Table ... π(2,2) Entropy 4 − 0 .66 3 0.57 0.43 0.52 0.48 0.992 3 − 0.409 0.58 0.42 0.55 0.45 0.987 2 − 0. 161 0.59 0.41 0 .60 0.40 0.974 1 0.1 06 0 .61 0.39 0.78 0.22 0. 863 2/3 0.202 0 .67 0.3...
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Robot Localization and Map Building Part 6 docx

Robot Localization and Map Building Part 6 docx

...                   1000 0 3212342342 313434 3212342342 cclssccc slcs cslcsscs (4) 4 h T= 4 5 T 5 6 T 6 h T                   1000 0 63 66 653 565 65 65 32 565 65 slcs cslcsscs ccllssccc (5) The coordinate transformation ...                   1000 0 3212342342 313434 3212342342 cclssccc slcs cslcsscs (4) 4 h T=...
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