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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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Journal ArticleDOI

Dynamical Simulation Priors for Human Motion Tracking

TL;DR: A simulation-based dynamical motion prior is proposed for tracking human motion from video in presence of physical ground-person interactions that explicitly incorporates a model of human dynamics into the Bayesian filtering framework and is able to recover physically plausible motion of human subjects from monocular and multiview video.
Journal ArticleDOI

A distributed protocol for motion coordination in free-range vehicular systems

TL;DR: To enable the development of supervisory policies capable of providing the necessary partial synchronization of the cell allocation, the structure of the adopted tessellation is modified by allowing the concurrent occupation of a cell by up to two vehicles at a time, instead of only one, that was assumed earlier.
Journal ArticleDOI

A new insertion strategy for a peg in an unfixed hole of the piston rod assembly

TL;DR: In this paper, a novel sensorless manipulation strategy for the high-precision assembly of a peg into an unfixed hole is presented. But, due to the motion of the piston, the position of the hole in piston is hard to be fully constrained and the position and orientation uncertainties of the peg hole can be eliminated by the attractive regions and the robotic manipulations.
Proceedings ArticleDOI

Contact force estimation for robotic assembly using motor torques

TL;DR: An alternative approach is presented which reconstructs the external forces and torques based on signals that can be obtained without a force sensor, namely motor currents/torques and joint angles.
Posted Content

Identification of geometrical and elastostatic parameters of heavy industrial robots

TL;DR: In this paper, the stiffness modeling of heavy industrial robots with gravity compensators is studied and the main attention is paid to the identification of geometrical and elastostatic parameters and calibration accuracy.