Напомним, что общероссийский конкурс БИТ 2011 проводится при стратегической поддержке «Российской Венчурной Компании». Что же касается регионального конкурса «БИТ Северо-Запад 2011», то помимо призового фонда, который для конкурса «БИТ Северо-Запад 2011» составляет 150 тысяч рублей, финалисты «БИТ Северо-Запад 2011» получили ряд специальных призов от компаний-партнеров.

Как уже говорилось ранее, в финал конкурса «БИТ Северо-Запад 2011» вышли 12 проектов, которые и были представлены в минувшую пятницу в здании СПбГУЭФ.

Победителем конкурса «БИТ Северо-Запад 2011» стал проект EXOMAN. За первое место авторы проекта получили денежный приз в размере 100 тысяч рублей. По правилам конкурса, участники финала, занявшие первое, второе и третье места получают право на участие в полуфинале общероссийского конкурса БИТ 2011. Однако, по решению жюри, проект EXOMAN был удостоен права участия сразу в финале БИТ 2011, который пройдет во второй половине июня 2011 года.

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Категория: EXOMEN | Нет комментариев »

A standing style transfer system, ABLE, is designed to assist a person with disabled lower limbs to travel in a standing position, to stand up from and sit down in a chair, and to go up and down steps. The ABLE system comprises three modules: a pair of telescopic Lofstrand crutches, a powered lower extremity orthosis, and a pair of mobile platforms. In this paper, the telescopic Lofstrand crutch is mainly discussed. This crutch has no actuator, and its length is switched between two levels; it assists the person when standing up and sitting down in the short length state, while it maintains the body stability in a standing position when traveling in the long length state. The experimental results related to the traveling in the standing position and standing up motion confirm the design’s effectiveness.

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Категория: Научные статьи | 1 Комментарий »

Motor learning lies at the heart of how humans and animals acquire their skills. Understanding of this process enables many benefits in Robotics, physics-based Computer Animation, and other areas of science and engineering. In this thesis, we develop a computational framework for learning of agile, integrated motor skills. Our algorithm draws inspiration from the process by which humans and animals acquire their skills in nature. Specifically, all skills are learned through a process of staged, incremental learning, during which progressively more complex skills are acquired and subsequently integrated with prior abilities. Accordingly, our learning algorithm is comprised of three phases. In the first phase, a few seed motions that accomplish goals of a skill are acquired. In the second phase, additional motions are collected through active exploration. Finally, the third phase generalizes from observations made in the second phase to yield a dynamics model that is relevant to the goals of a skill. We apply our learning algorithm to a simple, planar character in a physical simulation and learn a variety of integrated skills such as hopping, ipping, rolling, stopping, getting up and continuous acrobatic maneuvers. Aspects of each skill, such as length, height and speed of the motion can be interactively controlled through a user interface. Furthermore, we show that the algorithm can be used without modification to learn all skills for a whole family of parameterized characters of similar structure. Finally, we demonstrate that our approach also scales to a more complex quadruped character.

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Категория: Научные статьи | Нет комментариев »