38 research outputs found

    Grasp planning under uncertainty

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    Advanced robots such as mobile manipulators offer nowadays great opportunities for realistic manipulators. Physical interaction with the environment is an essential capability for service robots when acting in unstructured environments such as homes. Thus, manipulation and grasping under uncertainty has become a critical research area within robotics research. This thesis explores techniques for a robot to plan grasps in presence of uncertainty in knowledge about objects such as their pose and shape. First, the question how much information about the graspable object the robot can perceive from a single tactile exploration attempt is considered. Next, a tactile-based probabilistic approach for grasping which aims to maximize the probability of a successful grasp is presented. The approach is further extended to include information gathering actions based on maximal entropy reduction. The combined framework unifies ideas behind planning for maximally stable grasps, the possibilities of sensor-based grasping and exploration. Another line of research is focused on grasping familiar object belonging to a specific category. Moreover, the task is also included in the planning process as in many applications the resulting grasp should be not only stable but task compatible. The vision-based framework takes the idea of maximizing grasp stability in the novel context to cover shape uncertainty. Finally, the RGB-D vision-based probabilistic approach is extended to include tactile sensor feedback in the control loop to incrementally improve estimates about object shape and pose and then generate more stable task compatible grasps. The results of the studies demonstrate the benefits of applying probabilistic models and using different sensor measurements in grasp planning and prove that this is a promising direction of study and research. Development of such approaches, first of all, contributes to the rapidly developing area of household applications and service robotics

    ВлоТСния Π² произвСдСния искусства ΠΊΠ°ΠΊ долгосрочныС инвСстиции: экономико-статистичСский Π°Π½Π°Π»ΠΈΠ·

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    This article presents the results of the authors’ research on proving the statistical hypothesis on the validity of including investments inΒ works of art into the so-called safe-haven investments. The author argues with the traditional among investors and experts - art marketΒ researchers view investments in cultural assets as long-termΒ  investments, guaranteeing the owners the highest profits with a lagΒ  of two decades.Β The questions concerning the information andΒ  analytical base of the research, the use of grouping methods andΒ  analysis of variance areΒ described. Based on the empirical analysis,Β  the author draws conclusions regarding three basic trends in support of investment opportunitiesΒ in the cultural property market, which,Β  however, can not be unequivocally interpreted in favor of treatingΒ  investments in art as a shelterΒ investment. QuantitativeΒ  characteristics, reflecting the classification difference between the art market players, are calculated. In the finalΒ  part of the article theΒ  author stresses that in modern conditions it is unreasonable toΒ  exaggerate the influence of time (a time lag of 20 years) in strategic decisions on investment activity in the art market.Π’ Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ авторских исслСдований ΠΏΠΎ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠ΅ статистичСской Π³ΠΈΠΏΠΎΡ‚Π΅Π·Ρ‹ ΠΎ правомСрности отнСсСния Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π² произвСдСния искусства ΠΊ Ρ‚Π°ΠΊ Π½Π°Π·Ρ‹Π²Π°Π΅ΠΌΡ‹ΠΌ инвСстициям-ΡƒΠ±Π΅ΠΆΠΈΡ‰Π°ΠΌ. Автор ΠΏΠΎΠ»Π΅ΠΌΠΈΠ·ΠΈΡ€ΡƒΠ΅Ρ‚, Π² частности, с ΡƒΡΡ‚ΠΎΡΠ²ΡˆΠΈΠΌΡΡ ΠΌΠ½Π΅Π½ΠΈΠ΅ΠΌ срСди  инвСсторов ΠΈ спСциалистов-исслСдоватСлСй Ρ€Ρ‹Π½ΠΊΠ° худоТСствСнных цСнностСй,Β  Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… влоТСния Π² Π½ΠΈΡ… ΠΊΠ°ΠΊ долгосрочныС инвСстиции, Π³Π°Ρ€Π°Π½Ρ‚ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠ΅Β  Π²Π»Π°Π΄Π΅Π»ΡŒΡ†Π°ΠΌ Π½Π°ΠΈΠ²Ρ‹ΡΡˆΡƒΡŽ ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒ с Π»Π°Π³ΠΎΠΌ Π² Π΄Π²Π° дСсятилСтия.Β Π˜Π·Π»ΠΎΠΆΠ΅Π½Ρ‹ вопросы, относящиСся ΠΊ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎ-аналитичСской Π±Π°Π·Π΅ исслСдования, использования ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΎΠΊ и диспСрсионного Π°Π½Π°Π»ΠΈΠ·Π°. На основС эмпиричСского Π°Π½Π°Π»ΠΈΠ·Π° Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‚ΡΡΒ  Π²Ρ‹Π²ΠΎΠ΄Ρ‹ ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ‚Ρ€Π΅Ρ… Π±Π°Π·ΠΎΠ²Ρ‹Ρ… Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΉ Π² ΠΏΠΎΠ»ΡŒΠ·ΡƒΒ ΠΈΠ½Π²Π΅ΡΡ‚ΠΈΡ†ΠΈΠΎΠ½Π½Ρ‹Ρ… возмоТностСй  Ρ€Ρ‹Π½ΠΊΠ° ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½Ρ‹Ρ… цСнностСй, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅, Π²ΠΏΡ€ΠΎΡ‡Π΅ΠΌ, Π½Π΅ ΠΌΠΎΠ³ΡƒΡ‚ ΠΎΠ΄Π½ΠΎΠ·Π½Π°Ρ‡Π½ΠΎ ΠΈΠ½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΡΡ Π²Β ΠΏΠΎΠ»ΡŒΠ·Ρƒ Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²ΠΊΠΈ Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π² ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚Ρ‹ искусства ΠΊΠ°ΠΊ инвСстиций-ΡƒΠ±Π΅ΠΆΠΈΡ‰. Рассчитаны  количСствСнныС характСристики,Β ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‰ΠΈΠ΅ классификационноС Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠ΅ участников  Ρ€Ρ‹Π½ΠΊΠ° ΠΏΡ€ΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠΉ искусства. Автором Π² Π·Π°ΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ части ΡΡ‚Π°Ρ‚ΡŒΠΈΒ ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠΈΠ²Π°Π΅Ρ‚ΡΡ,Β  Ρ‡Ρ‚ΠΎ Π² соврСмСнных условиях нСцСлСсообразно ΠΏΡ€Π΅ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Ρ‚ΡŒ влияниС Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ (Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉΒ  ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΉ Π² 20 Π»Π΅Ρ‚) в стратСгичСских Ρ€Π΅ΡˆΠ΅Π½ΠΈΡΡ… ΠΏΠΎ инвСстиционной  Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π½Π° Π°Ρ€Ρ‚-Ρ€Ρ‹Π½ΠΊΠ΅

    ВлоТСния Π² произвСдСния искусства ΠΊΠ°ΠΊ долгосрочныС инвСстиции: экономико-статистичСский Π°Π½Π°Π»ΠΈΠ·

    Get PDF
    This article presents the results of the authors’ research on proving the statistical hypothesis on the validity of including investments inΒ works of art into the so-called safe-haven investments. The author argues with the traditional among investors and experts - art marketΒ researchers view investments in cultural assets as long-termΒ  investments, guaranteeing the owners the highest profits with a lagΒ  of two decades.Β The questions concerning the information andΒ  analytical base of the research, the use of grouping methods andΒ  analysis of variance areΒ described. Based on the empirical analysis,Β  the author draws conclusions regarding three basic trends in support of investment opportunitiesΒ in the cultural property market, which,Β  however, can not be unequivocally interpreted in favor of treatingΒ  investments in art as a shelterΒ investment. QuantitativeΒ  characteristics, reflecting the classification difference between the art market players, are calculated. In the finalΒ  part of the article theΒ  author stresses that in modern conditions it is unreasonable toΒ  exaggerate the influence of time (a time lag of 20 years) in strategic decisions on investment activity in the art market.Π’ Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ авторских исслСдований ΠΏΠΎ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠ΅ статистичСской Π³ΠΈΠΏΠΎΡ‚Π΅Π·Ρ‹ ΠΎ правомСрности отнСсСния Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π² произвСдСния искусства ΠΊ Ρ‚Π°ΠΊ Π½Π°Π·Ρ‹Π²Π°Π΅ΠΌΡ‹ΠΌ инвСстициям-ΡƒΠ±Π΅ΠΆΠΈΡ‰Π°ΠΌ. Автор ΠΏΠΎΠ»Π΅ΠΌΠΈΠ·ΠΈΡ€ΡƒΠ΅Ρ‚, Π² частности, с ΡƒΡΡ‚ΠΎΡΠ²ΡˆΠΈΠΌΡΡ ΠΌΠ½Π΅Π½ΠΈΠ΅ΠΌ срСди  инвСсторов ΠΈ спСциалистов-исслСдоватСлСй Ρ€Ρ‹Π½ΠΊΠ° худоТСствСнных цСнностСй,Β  Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… влоТСния Π² Π½ΠΈΡ… ΠΊΠ°ΠΊ долгосрочныС инвСстиции, Π³Π°Ρ€Π°Π½Ρ‚ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠ΅Β  Π²Π»Π°Π΄Π΅Π»ΡŒΡ†Π°ΠΌ Π½Π°ΠΈΠ²Ρ‹ΡΡˆΡƒΡŽ ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒ с Π»Π°Π³ΠΎΠΌ Π² Π΄Π²Π° дСсятилСтия.Β Π˜Π·Π»ΠΎΠΆΠ΅Π½Ρ‹ вопросы, относящиСся ΠΊ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎ-аналитичСской Π±Π°Π·Π΅ исслСдования, использования ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΎΠΊ и диспСрсионного Π°Π½Π°Π»ΠΈΠ·Π°. На основС эмпиричСского Π°Π½Π°Π»ΠΈΠ·Π° Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‚ΡΡΒ  Π²Ρ‹Π²ΠΎΠ΄Ρ‹ ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ‚Ρ€Π΅Ρ… Π±Π°Π·ΠΎΠ²Ρ‹Ρ… Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΉ Π² ΠΏΠΎΠ»ΡŒΠ·ΡƒΒ ΠΈΠ½Π²Π΅ΡΡ‚ΠΈΡ†ΠΈΠΎΠ½Π½Ρ‹Ρ… возмоТностСй  Ρ€Ρ‹Π½ΠΊΠ° ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½Ρ‹Ρ… цСнностСй, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅, Π²ΠΏΡ€ΠΎΡ‡Π΅ΠΌ, Π½Π΅ ΠΌΠΎΠ³ΡƒΡ‚ ΠΎΠ΄Π½ΠΎΠ·Π½Π°Ρ‡Π½ΠΎ ΠΈΠ½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΡΡ Π²Β ΠΏΠΎΠ»ΡŒΠ·Ρƒ Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ²ΠΊΠΈ Π²Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π² ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚Ρ‹ искусства ΠΊΠ°ΠΊ инвСстиций-ΡƒΠ±Π΅ΠΆΠΈΡ‰. Рассчитаны  количСствСнныС характСристики,Β ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‰ΠΈΠ΅ классификационноС Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠ΅ участников  Ρ€Ρ‹Π½ΠΊΠ° ΠΏΡ€ΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠΉ искусства. Автором Π² Π·Π°ΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ части ΡΡ‚Π°Ρ‚ΡŒΠΈΒ ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠΈΠ²Π°Π΅Ρ‚ΡΡ,Β  Ρ‡Ρ‚ΠΎ Π² соврСмСнных условиях нСцСлСсообразно ΠΏΡ€Π΅ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Ρ‚ΡŒ влияниС Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ (Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉΒ  ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΉ Π² 20 Π»Π΅Ρ‚) в стратСгичСских Ρ€Π΅ΡˆΠ΅Π½ΠΈΡΡ… ΠΏΠΎ инвСстиционной  Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π½Π° Π°Ρ€Ρ‚-Ρ€Ρ‹Π½ΠΊΠ΅

    Introduction of Fluorine and Fluorine-Containing Functional Groups

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