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Tactile Robotics
Tactile Robotics structures and unifies the information processing of tactile data—not only for extracting object property but also for controller computation. This book systematically introduces tactile sensors, perception, and control, providing readers with no prior background with a better sense and knowledge of robotics and machine learning and helping users understand the concept of tactile robots and their various applications for use in real-world scenarios. - Covers basic concepts in robotics and machine learning - Includes essential knowledge for robotic manipulation tasks when tactile information is required - Employs numerous applications to illustrate how tactile robotics can be used in real robotic manipulation tasks - Defines how to structure the knowledge that can be extracted from raw tactile data
Computer Vision – ACCV 2020
The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands
This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.
Ladrones & señores
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Stahl + Eisen
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Stahl und Eisen
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Das Elektrostahlverfahren
VI Siemens-Halske sei fur ihr bereitwilliges Entgegenkommen an diesel' Stelle bestens gedankt. Einige Abschnitte des fertigbearbeiteten Konzepts del' vorliegenden Auflage habe ich Sonderfachleuten zur kritischen Durchsicht vorgelegt, um die Gewiihr zu haben, daB auch die Gebiete, fur die ich selbst nicht ureigenster Fachmann bin, einwandfrei dargestellt sind. Es ist mir dahel' eine schone PIlicht, allen diesen Herren an dieser Stelle meinen ver bindlichen Dank fUr ihr Interesse und ihre Muhewaltung auszuspl'echen, und zwar Herrn Dipl.-Ing. A. Driller, Mulheim, fur den elektrotechni schen Tei.
