Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 6 ppt
... (SAART) neural net- work for neuro-engineering of robust ATR systems," in Proc. IEEE Interna- tional Conference on Neural Networks, pp.2 46 1-2 466 , 1995. 41. P. Lozo. 1997, Neural theory and model ... self-organizing neural network architecture for fast supervised learning and pattern recogni- tion," in Proc. International Joint Conference on Neural Networks, IJCNN-9...
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... tooling and fixturing er- rors, thermally induced and load induced errors, and also dynamic ones due to the kinematics of the machine. These errors may be generally classi- fied under two main ... monitoring entity working in real-time to continuously derive and analyse vibration signals. 8 Intelligent Precision Motion Control 277 u, aaa LRI ,, denote the electrical parameters:...
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... Designing Iterative Learning and Repetitive Controllers, In Z. Bien and Xu J X. eds, Iterative Learning Control - Analysis, Design, Integration and Application, Kluwer Academic Publishers, 10 7-1 45. ... Hori T (1997) Analysis and Classical Control Design of Servo Systems using High Order Dis- tubance Observer, 23rd International Conference on Industrial Elec- tronics,...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 1 pps
... Number: 20059298 86 ISSN print edition: 1 86 0-9 49X ISSN electronic edition: 1 86 0-9 503 ISBN-10 3-5 4 0-2 68 9 2-8 Springer Berlin Heidelberg New York ISBN-13 97 8-3 -5 4 0-2 68 9 2-5 Springer Berlin Heidelberg ... 3-5 4 0-2 65 49-X Vo l . 8. Srikanta Patnaik, Lakhmi C. Jain, Spyros G. Tzafestas, Germano Resconi, Amit Konar (Eds.) Innovations in Robot M...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 2 ppsx
... a single robot. Individual robots typically obtain partial and noisy data from the surrounding environment. This data is often erroneous, leading to miscalculations and wrong behaviours, and ... the N robots by the M sites) to a final or target configuration. x A formation feasibility problem: given the kinematics of several robots along with inter -robot constraints, determine...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 3 pps
... the inter -robot formation. Distributing the group control tasks to individual robots must be compatible with the control and sensing capabilities of the individual robots. As the inter -robot ... with inter -robot constraints, determine whether there exist robot trajectories that maintain those constrains. For both directed and undirected (not necessarily rigid) formations...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 4 doc
... essentially two major types of maps; geomet- rical and topological maps. Geometrical maps provide details of metrical information (exact co-ordinates and distances) between objects found in the ... prepare intercept done failed Kicker - - aimAndPass standBy - - Receiver - - standBy intercept - - 62 P.U. Lima and L.M. Custódio 8. Desai, J., Kumar, V. Ostr...
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Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 5 ppsx
... time. In general these point-based landmarks are corners, van- ishing points and points with distinct colour and contrast in the environ- ments. Unlike point-based landmarks, scene-based landmarks ... virtually anything in the environment can be chosen to serve as landmarks and categorised in three distinct categories of landmarks: point, scene and shape based land- marks. T...
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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 10 pdf
... Table 5.1 Typical rule-base and rule confidences obtained after training. Rule confidences are shown in brackets in the following order: (i) weights after off-line supervised training; (ii) weights ... 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-propagat...
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