Yu Sun Libros

This book constitutes the refereed proceedings of the First Robotic Grasping and Manipulation Challenge, RGMC 2016, held at IROS 2016, Daejeon, South Korea, in October 2016.The 13 revised full papers presented were carefully reviewed and are describing the rules, results, competitor systems and future directions of the inaugural competition. The competition was designed to allow researchers focused on the application of robot systems to compare the performance of hand designs as well as autonomous grasping and manipulation solutions across a common set of tasks. The competition was comprised of three tracks that included hand-in-hand grasping, fully autonomous grasping, and simulation.

Combining robotics with nanotechnology, this ready reference summarizes the fundamentals and emerging applications in this fascinating research field. This is the first book to introduce tools specifically designed and made for manipulating micro- and nanometer-sized objects, and presents such examples as semiconductor packaging and clinical diagnostics as well as surgery. The first part discusses various topics of on-chip and device-based micro- and nanomanipulation, including the use of acoustic, magnetic, optical or dielectrophoretic fields, while surface-driven and high-speed microfluidic manipulation for biophysical applications are also covered. In the second part of the book, the main focus is on microrobotic tools. Alongside magnetic micromanipulators, bacteria and untethered, chapters also discuss silicon nano- and integrated optical tweezers. The book closes with a number of chapters on nanomanipulation using AFM and nanocoils under optical and electron microscopes. Exciting images from the tiniest robotic systems at the nano-level are used to illustrate the examples throughout the work. A must-have book for readers with a background ranging from engineering to nanotechnology.

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.

Imbibition is a process in which a wetting liquid is drawn into a porous medium by capillary action. This process is widely encountered in various engineering applications, such as paper coating. Undesired imbibition rate or liquid phase distribution are the two major problems in reality, and a profound study is required to understand the fundamental reasons of these problems, to analyze them and eventually to prevent them. One way to study the imbibition process is to use the pore network modeling approach, which is known to be an effective tool to investigate the pore-scale transport phenomena in porous media. In this thesis, a general pore network model that accounts for liquid properties as well as solid structural properties is developed. This model considers the capillarity, viscous drag and gravity as main mechanisms controlling the liquid flow. Three discrete events of liquid transport, i. e. invasion, retraction and breakage, are introduced based on the experimental observations to create new menisci.