In this paper, a novel technique for the viscoelastic characterization of biosamples is presented. The measuring tool consists of MEMS-technology based tweezers that are used, in general, to perform micromanipulation tasks. A mechanical model is developed for the nonlinear dynamics of the...
04b Atto di convegno in volume
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It follows from the Marcus-Spielman-Srivastava proof of the Kadison-Singer conjecture that if G = (V, E) is a ∆- regular dense expander then there is an edge-induced subgraph H = (V, EH) of G of constant maximum degree which is also an expander. As with other consequences of the MSS theorem, it is...
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By exploiting an a priori estimate of the dynamic model of a manipulator, it is possible to command joint torques which ideally realize a Feedback Linearization (FL) controller. The exact cancellation may nevertheless not be achieved due to model uncertainties and possible errors in the estimation...
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In this paper, the problem of stabilizing nonlinear discrete-time systems affected by delayed state measures is addressed under average passivity-based control. The contribution stands in the introduction of a new delay-free dynamics which is used for the design of the stabilizing feedback....
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Online Judges are e-learning tools used to improve the programming skills, typically for programming contests such as International Olympiads in Informatics and ACM International Collegiate Programming Contest. In this context, due to the nowadays broad list of programming tasks available in Online...
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Semantic mapping is fundamental to enable cognition and high-level planning in robotics. It is a difficult task due to generalization to different scenarios and sensory data types. Hence, most techniques do not obtain a rich and accurate semantic map of the environment and of the objects therein....
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Representing unknown and missing knowledge about the environment is fundamental to leverage robot behavior and improve its performance in completing a task. However, reconstructing spatial knowledge beyond the sensory horizon of the robot is an extremely challenging task. Existing approaches assume...
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In this paper we present a novel mechanism to get explanations that allow to better understand network predictions when dealing with sequential data. Specifically, we adopt memory-based net- works — Differential Neural Computers — to ex- ploit their capability of storing data in memory and reusing...
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The organizational ability to react to cyber attacks recalls the concept of resilience. In order to provide a deep insight on how companies effectively introduce and implement cyber systems to enhance cyber resilience, a multiple case study analysis revealing interesting managerial implications is...