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Springer Handbook of Robotics

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TLDR
The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications.
Abstract
The second edition of this handbook provides a state-of-the-art cover view on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organizations Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbooks team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app.

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Proceedings ArticleDOI

Cartesian contact force estimation for robotic manipulators using Kalman filters and the generalized momentum

TL;DR: A new approach towards online estimation of contact forces and torques at the tool center point from motor torques as well as joint angles and speeds is presented, which is based on analyzing the generalized momentum of the manipulator.
Journal ArticleDOI

Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction

TL;DR: The proposed system, Telerobotic Operation based on Auto-reconstructed Remote Scene (TOARS), utilizes a deep learning algorithm to automatically detect objects in the captured scene, along with their physical properties, based on the point cloud data.

Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator

TL;DR: An on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed forthree degrees of freedom (3DOF) robot manipulator to rich the best performance.
Journal ArticleDOI

Survey on Aerial Manipulator: System, Modeling, and Control

Xiangdong Meng, +2 more
- 01 Jul 2020 - 
TL;DR: A complete and systematic review of related research on this topic is conducted, and various types of structure designs of aerial manipulators are listed out.
Posted Content

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

TL;DR: This work finds that using a mid-level perception confers significant advantages over training end-to-end from scratch (i.e. not leveraging priors) in navigation-oriented tasks and develops an efficient max-coverage feature set that can be adopted in lieu of raw images.