Mobile Robots -Towards New Applications 2008 Part 3 ppt
... Equation ( 13) the coupling can be described for the equations: ( ) () () () 0][1 1 231 2 ,39 999 ,33 3 2 33 2 33 33 =−−−−−Ω+−− θθθθθθθθθδθ ccq oo (20) ( ) () () ( ) 0][][1 12121212, 933 33, 999 2 99 2 9999 =−−−−−Ω+−− ooo ccq θθθθθθθθθθδθ ... Ω i , i ∈ {3, 9, 12}) can be determined. Then: () 3 3 3 2 9 ,3 2 933 1 231 2 ,3 3 12 44 δω δ A cAAAAc q ++− = (26) ω 2...
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... 496 Mobile Robots, Towards New Applications 40 60 80 100 1 23 over 10 7-10 3- 7 0 -3 Gap between the bits and the plate [mm] Ratio of the particle sizes % [mm] 40 60 80 100 1 23 over 10 7-10 3- 7 0 -3 Gap ... 19 93) . 490 Mobile Robots, Towards New Applications Fig. 12. Positioning sensor unit. Fig. 13. Result of the position measurement. Fig. 14. Excavation type min...
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... windings; 22 3 r R U BLT s = is the largest value of the torque output under 2-2 PCA control. Under 3- 3 PCA control, the average torque produced by I A3 ᇬI B3 and I C3 is: TT β 3 32 3 = (30 ) The ... performance of existing ones. Forces, such as 532 Mobile Robots, Towards New Applications . Deviation angle 0 ∼0.2° 0.2∼0 .3 0 .3 0.5° Number of steps 75 36 33 Table 2...
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Mobile Robots -Towards New Applications 2008 Part 2 doc
... Γ 1 1 1 11 1 12 2 13 3 14 4 2 22211222 233 244 33 331 132 233 334 4 yy dddd yyd d dd yydd d d (26) Now we want to suppress the instability of the three variables i y , () =i1, 2, 3 . It can be achieved ... choosing the controls i ƥ () i1, 2, 3, 4= such that Γ+ Γ+ Γ+ Γ= γ Γ+ Γ+ Γ+ Γ=γ Γ+ Γ+ Γ+ Γ=γ 11 1 12 2 13 3 14 4 1 1 21 1 22 2 23 3 24 4 2 2 31 1 32 2 33 3 34 4 3...
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Mobile Robots -Towards New Applications 2008 Part 4 docx
... one, for task 3, after 3 and 7 seconds and after 1000 iterations in column 1, 2 and 3 respectively. Average values r standard deviation are provided. 120 Mobile Robots, Towards New Applications ... Practice 12(4): 38 7 -39 9. Zinn, M., B. Roth, et al. (2004).A new actuation approach for human friendly robot design. International Journal of Robotics Research 23( 4-5): 37 9...
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Mobile Robots -Towards New Applications 2008 Part 6 ppsx
... of robots. NARS: S1 NARS: S2 NARS: S3 N Mean SD Mean SD Mean SD Male 1 92 12.5 3. 7 16.0 3. 6 9.5 2.7 2 27 12 .3 4.2 16 .3 2.8 11.1 2.2 3 34 13. 6 5 .3 16.2 4.6 10 .3 2.9 4 13 12.7 4.6 15.6 3. 9 ... 28 13. 1 4.0 16.5 3. 9 10.4 2.5 Others 31 12.9 5.0 16.1 4.1 10.0 2.9 Female 1 33 14.7 4.7 16 .3 3 .3 9 .3 2.6 5 5 13. 6 7.5 18.8 4.1 10.4 0.9 6 16 12.8 4.2 16.6 3...
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Mobile Robots -Towards New Applications 2008 Part 7 pps
... experimental set-up permitted the participants to move with minimal restriction. However, they were not completely 236 Mobile Robots, Towards New Applications 3. Theoretical Framework for Human-Robot ... 71(1): 50- 73, 1958. [30 ] C. A. Smith, “Dimensions of appraisal and physiological response in emotion,” Journal of Personality and Social Psychology, 56 (3) : 33 9 -35 3, 1989...
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Mobile Robots -Towards New Applications 2008 Part 10 docx
... 38 6 Mobile Robots, Towards New Applications 1 ~~ − ¸ ¹ · ¨ © § += IPSP T tt T tt HHHK (( (32 ) tttt ZK+= χχ ~ ˆ (33 ) () tttt PSIP ~ (( HK−= (34 ) and () I0=H (35 ) The term ... on the actuator activity has to be 3 cf. Figure 10 in the paper Underwater Robots Part I : current systems and problem pose. 35 8 Mobile Robots, Towards New Applications where sİ i...
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Mobile Robots -Towards New Applications 2008 Part 11 pps
... 6/11 6/12 6/ 13 6/14 6/15 6/16 6/17 6/18 6/19 total A 46 33 30 29 29 31 32 33 35 34 20 35 2 B 34 25 22 21 17 19 26 30 17 28 14 2 53 C 4 0 2 0 2 1 1 1 1 0 1 13 D 4 8 4 8 8 8 4 0 14 3 3 64 E 8 8 ... 4 58.5 71.7 + 13. 2 165.0 3 69.6 73. 3 +3. 7 46 .3 2 80.8 78 .3 -2.5 31 .3 1 91.9 75.7 -16.2 202.5 Table 1. Data recorded (without proper tuning). 402 Mobile Robots...
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Mobile Robots -Towards New Applications 2008 Part 12 pot
... Proceedings of IEEE International Conference on Neural Networks, pages 34 3 35 3, 1988. 440 Mobile Robots, Towards New Applications The Equation is solved applying a SSD approach. After obtaining ... Obtain Parameter Pre processin g Post processin g Normalize Extract features Classif y 432 Mobile Robots, Towards New Applications 3. 1. Acquiring module The acquired imag...
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