In controlling manipulators interacting with the external environment, an important issue is the choice and construction of the Cartesian level control system. To eeec-tively control the constrained manipulators, a knowledge of the resulting compliance of the system is required. In this paper a systematic analysis of the Cartesian stii-ness and compliance matrices, which at full extent has not ...

Decisional systems are based on multidimensional databases improving OLAP analyses. This chapter describes a new OLAP operator named “BLEND” that performs multigranular analyses. This operation transforms multidimensional structures when querying in order to analyze measures according to several granularity levels like one parameter. We study valid uses of this operation in the context of stric...

In order to perform complex manipulation tasks, a robot must know which actions it can perform with the available objects. In unstructured environments, potential manipulations afforded by objects will not be pre-specified, and must instead be learned. Rather than determining each novel object’s affordances from scratch, the robot can learn more efficiently by generalizing manipulations from si...

In this paper, in order to accelerate BDD based algorithms, we propose implementing BDD operations by hardware. We have designed a RTL model of the proposed hardware, and expressed it by C language so that we can count the number of clocks needed for each BDD operation. We have examined its performance improvement with respect to the original software library by using several benchmark circuits.

Vegetative regeneration of aspen can be initiated through manipulations that provide hormonal stimulation, proper growth environment, and sucker protection—the three elements of the aspen regeneration triangle. The correct course of action depends upon a careful evaluation of the size, vigor, age, and successional status of the existing clone. Soils and site productivity, competition from other...

Ranking systems are widely used by agencies to rank agents, for example U.S. News & World Report ranks colleges. Such rankings are prone to manipulation by the agency (e.g. USNews) for publicity, and also by the agents (e.g. colleges) to get a better rank. We analyze the algorithmic aspects of manipulation in linear ranking systems of m agents using n features. Computing optimal manipulation fo...