Download PDF by Julius T. Tou (auth.), Julius T. Tou, Jens G. Balchen (eds.): Highly Redundant Sensing in Robotic Systems

By Julius T. Tou (auth.), Julius T. Tou, Jens G. Balchen (eds.)

ISBN-10: 3642840515

ISBN-13: 9783642840517

ISBN-10: 3642840531

ISBN-13: 9783642840531

Design of clever robots is among the most crucial endeavors in robotics learn at the present time. the foremost to clever robotic layout lies in sensory platforms for robot keep watch over and manipulation. In an unstructural atmosphere, robot sensing interprets measurements and features of our surroundings and dealing gadgets into precious info. A robot method is mostly outfitted with numerous sensors to accomplish redundant sensing and accomplish facts fusion. This ebook includes revised models of papers awarded at a NATO complicated examine Workshop held in Florida in September 1989 in the actions of the NATO specified Programme on Sensory structures for robot regulate. the basic concerns addressed during this quantity have been: - conception and methods, together with knowledge-based platforms, geometrical fusion, Boolean fusion, probabilistic fusion, feature-based fusion, error-estimation strategy, and Markov procedure modeling. - common suggestions, together with microscopic redundancy on the sensory point point, macroscopic redundancy on the sensory method point, parallel redundancy, and standby redundancy. - Implementation and alertness, together with robot keep an eye on, sensory know-how, robot meeting, robotic palms, sensory sign processing, sensory method integration, and PAPIA structure. - organic analogies, together with neural nets, trend popularity, low-level fusion, and motor learning.

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Without these, the whole technology will founder. Industrial applications of visual and tactile sensing are really in the experimental stage and it is salutory to confess that the only universally accepted and reliable sensor which industry can use is the proximity sensor. Many of the papers included in the list of references have been republished in book form [40]. 30 VIII. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] REFERENCES A. Pugh, "Robot Sensors - A Personal View" International Conference on Advanced Robotics (1985 ICAR) Robotics Society of Japan, 1985, pp.

2 Contra enIuIn ment Funneling is illustrated in Figure 3. A static pressure input having width measured in centimeters is applied to the skin. Lateral inhibition occurs at the relay points on the way up to the cerebral cortex. The output has been funneled into a sharp peak whose width is measured in millimeters. J.. :".. 0. A. ,... 1l ,~~ Fig. 3. Funneling. Taken from (18). with permission. Two-point discrimination is illustrated in Figures 4 and 5. Static pressure is applied to skin at two points a few millimeters apart as shown in the first picture.

Thus the acceptable variations in the data can be removed by an appropriate adjustment of the lateral inhibition. If this lateral inhibition parameter is discovered during motor learning and is stored with the learned motion, then during subsequent execution of that motion ~ fluctuation of the sensor data will be indicative of an error situation. A real nervous system could do this if it had a way of affecting the degree of lateral inhibition at one site from another site in the brain. This author is not aware of any physiological claims concerning such a connection, but one might note that the sites of lateral inhibition often are also sites of distal feedback inhibition, which are thought to provide central control of sensory transmission [11].

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Highly Redundant Sensing in Robotic Systems by Julius T. Tou (auth.), Julius T. Tou, Jens G. Balchen (eds.)


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