Recent work has shown the potential for lights to act as simple, yet expressive signaling mechanisms for use in a variety of human-robot applications. However, the wide range of robot shapes and sizes makes it difficu...
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Anew device for the control of power wheelchairs is introduced. Besides aspeech recognition module its main component consists in twoforce sensors, shaped to match the hands of the *** sensors are able to measure slig...
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ISBN:
(纸本)9783885796534
Anew device for the control of power wheelchairs is introduced. Besides aspeech recognition module its main component consists in twoforce sensors, shaped to match the hands of the *** sensors are able to measure slightest pressures executed by the thumbs. Commonly, mobility impaired persons control apower wheelchair via ajoystick. This requires the ability to execute distinct movements of the fingers or hands. In case the impairments are more severe and affect also the upper limbs, the possibility of wheelchair control via ajoystick might not exist. Such persons in mind, aconcept has been developed in which minimal muscular forces suffice to control apower *** of the device has been constructed that measures and combines the pressures from both thumbs and translates them to direction and speed of the *** been tested under reality conditions in various indoor and outdoor scenarios.
In computer vision a reliable recognition and classification of objects is an essential milestone on the way to autonomous scene understanding. In particular, keypoint detection is an essential prerequisite towards it...
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The average portfolio structure of institutional investors is shown to have properties which account for transaction costs in an optimal way. This implies that financial institutions unknowingly display collective rat...
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Recent work has shown the potential for lights to act as simple, yet expressive signaling mechanisms for use in a variety of human-robot applications. However, the wide range of robot shapes and sizes makes it difficu...
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Recent work has shown the potential for lights to act as simple, yet expressive signaling mechanisms for use in a variety of human-robot applications. However, the wide range of robot shapes and sizes makes it difficult for researchers to quickly prototype and evaluate different light configurations and signal designs. In this work, we present the design of ModLight, a modular research tool consisting of a set of low cost light blocks that can be easily reconfigured to fit a myriad of robots and applications. ModLight also provides researchers, designers, and students with open-source software tools that enable them to visually design new signals and easily integrate them into existing systems. This work also serves to motivate the need for further research in developing light behaviors for use in human-robot interaction. Towards this goal, we present our design rationale including a brief analysis of the signaling needs of several robots and applications.
For annual field crops, the early development phase is crucial in establishing potential crop yield and thus to achieve high yield. Despite its importance, this phase is often neglected in current crop models that foc...
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ISBN:
(纸本)9781509016600
For annual field crops, the early development phase is crucial in establishing potential crop yield and thus to achieve high yield. Despite its importance, this phase is often neglected in current crop models that focus on later stages and on how plants produce biomass and allocate it to the different organs after emergence. Modeling stand establishment requires assessing accurately enough the conditions of the seedbed, the top 10 cm of the soil profile that serve as growing medium for germinating seeds and plantlets, which drive early development. In this zone, atmospheric conditions generate intense energy and water fluxes, results of biophysical phenomena at the soil-atmosphere interface, and consequently rapid and dramatic changes in temperature and water content that are not yet completely understood. Thus, our goal is to propose a modeling approach to improve the estimation of emergence timing by a simulation of the dynamics of seedbed temperature in response to a few standard meteorological factors that can be routinely acquired: global radiation, air temperature, relative humidity, wind speed and precipitation. The use of these five meteorological factors will allow an easier deployment and use of this model at large scale. We developed a soil model that uses the energy balance approach for the soil surface and a system of coupled partial differential equations for heat and water diffusion in the soil. We made the assumption of a homogeneous soil, without vegetation or residue cover. Our results show that this model is able to capture temporal and spatial variations of the soil temperature and the soil water content. Moreover, this model provides the most critical input data for models predicting the dynamics of emergence. Using data of maize (Zea Mays L.), we evaluate three thermal time models with respectively one, two and three parameters to predict the timing to 50 % of emergence and show that the model with one parameter corresponds to more heat-toleran
The International Agency for Research on Cancer classifies radiofrequency (RF) electromagnetic emissions of cell phones as possibly carcinogenic to humans [1] and suggests the use of hands-free devices such as earphon...
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Computational Social Choice is an interdisciplinary research area involving Economics, Political science,and Social science on the one side, and mathematics and computerscience(including Artificial Intelligence and ...
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Computational Social Choice is an interdisciplinary research area involving Economics, Political science,and Social science on the one side, and mathematics and computerscience(including Artificial Intelligence and Multiagent Systems) on the other side. Typical computational problems studied in this field include the vulnerability of voting procedures against attacks, or preference aggregation in multi-agent systems. Parameterized Algorithmics is a subfield of Theoretical computerscience seeking to exploit meaningful problem-specific parameters in order to identify tractable special cases of in general computationally hard problems. In this paper, we propose nine of our favorite research challenges concerning the parameterized complexity of problems appearing in this context. This work is dedicated to Jianer Chen, one of the strongest problem solvers in the history of parameterized algorithmics,on the occasion of his 60 th birthday.
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