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Titlebook: Robotics Research; Volume 1 Antonio Bicchi,Wolfram Burgard Book 2018 Springer International Publishing AG 2018 Robotics future.Robotics Res

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Reproducing Expert-Like Motion in Deformable Environments Using Active Learning and IOC behavior using an optimal motion planner. We have tested our framework with a set of 5DoF simulated and 3DoF physical test environments, and demonstrate that it recovers object parameters suitable for planning paths that imitate the behavior of expert demonstrations. Additionally, we show that our
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Book 2018 of the field‘s most fundamental and lasting contributions. This book presents the results of the seventeenth edition of "Robotics Research" ISRR15, offering a collection of a broad range of topics in robotics. The content of the contributions provides a wide coverage of the current state of robotic
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Design, Sensing, and Planning: Fundamentally Coupled Problems for Continuum Robotsnnected for continuum robots, that the connection can be analyzed using statistical state estimation, and that considering the three problems simultaneously can lead to better overall solutions. We provide examples for concentric-tube continuum robots.
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A Global Strategy for Tailsitter Hover Control that this control method is able to perform recoveries to hover from any initial attitude, given that the initial velocity of the vehicle is below a certain limit. Further, the performance of the control strategy is demonstrated on a small tailsitter vehicle in the ETH Zurich Flying Machine Arena.
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Tensile Web Construction and Perching with Nano Aerial Vehiclesfectiveness of this mechanism, we develop the mechanical and electronic designs of two payload packages for attachment to nano quadrotor robots with a total integrated mass of only 26 g per robot, and we present the trajectory planning and control algorithms required to enable robust execution of the construction scheme.
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A Multi-soft-body Dynamic Model for Underwater Soft Robotsa Cosserat based formalism where a Reissner shell model and a finite-strain beam formulation are joined is conceived which lends itself to the description of the highly non linear dynamics of this new family of vehicles in a dense fluid.
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High-Power Propulsion Strategies for Aquatic Take-off in Roboticsine environments, such as coral reefs and coastal areas. To enable such applications, we are developing a new class of aerial-aquatic robots, called Aquatic Micro Aerial Vehicles (AquaMAVs), capable of diving into the water and returning to flight. One of the main challenges in the development of an
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