Robotics The Algorithmic Perspective PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Robotics The Algorithmic Perspective PDF full book. Access full book title Robotics The Algorithmic Perspective.

Robotics: The Algorithmic Perspective

Robotics: The Algorithmic Perspective
Author: Pankaj K. Agarwal
Publisher: CRC Press
Total Pages: 389
Release: 1998-12-15
Genre: Computers
ISBN: 1439863881

Download Robotics: The Algorithmic Perspective Book in PDF, ePub and Kindle

This volume gathers together cutting-edge research from the Third Workshop on Algorithmic Foundations of Robotics and gives a solid overview of the state of the art in robot algorithms. The papers cover core problems in robotics, such as motion planning, sensor-based planning, manipulation, and assembly planning. They also examine the application o


An Algorithmic Perspective on Imitation Learning

An Algorithmic Perspective on Imitation Learning
Author: Takayuki Osa
Publisher:
Total Pages: 194
Release: 2018-03-27
Genre: Technology & Engineering
ISBN: 9781680834109

Download An Algorithmic Perspective on Imitation Learning Book in PDF, ePub and Kindle

Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning. It also roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning.


Robotics

Robotics
Author: Pankaj K. Agarwal
Publisher:
Total Pages: 412
Release: 1998
Genre: Algorithms
ISBN:

Download Robotics Book in PDF, ePub and Kindle

Progress on the algorithmic foundations of robotics is critical to the technology. This volume gathers together cutting-edge research presented at the Third Workshop on the Algorithmic Foundations of Robotics, and gives a solid overview of the state of the art in robot algorithms. The papers cover core problems in robotics, such as motion planning, sensor-based planning, manipulation, and assembly planning. They also examine the application of robotics algorithms in domains like molecular modeling, geometric modeling, and computer-assisted surgery.


An Algorithmic Perspective on Imitation Learning

An Algorithmic Perspective on Imitation Learning
Author: Takayuki Osa
Publisher:
Total Pages: 179
Release: 2018
Genre: Algorithms
ISBN: 9781680834116

Download An Algorithmic Perspective on Imitation Learning Book in PDF, ePub and Kindle

As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a teacher to demonstrate a desired behavior rather than attempt to manually engineer it. This process of learning from demonstrations, and the study of algorithms to do so, is called imitation learning. This work provides an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms developed to tackle the problem; and advice on effective tools and implementation. We intend this paper to serve two audiences. First, we want to familiarize machine learning experts with the challenges of imitation learning, particularly those arising in robotics, and the interesting theoretical and practical distinctions between it and more familiar frameworks like statistical supervised learning theory and reinforcement learning. Second, we want to give roboticists and experts in applied artificial intelligence a broader appreciation for the frameworks and tools available for imitation learning. We pay particular attention to the intimate connection between imitation learning approaches and those of structured prediction Daum©♭ III et al. [2009].


Algorithmic Foundations of Robotics V

Algorithmic Foundations of Robotics V
Author: Jean-Daniel Boissonnat
Publisher: Springer Science & Business Media
Total Pages: 600
Release: 2003-09-11
Genre: Technology & Engineering
ISBN: 9783540404767

Download Algorithmic Foundations of Robotics V Book in PDF, ePub and Kindle

Selected contributions to the Workshop WAFR 2002, held December 15-17, 2002, Nice, France. This fifth biannual Workshop on Algorithmic Foundations of Robotics focuses on algorithmic issues related to robotics and automation. The design and analysis of robot algorithms raises fundamental questions in computer science, computational geometry, mechanical modeling, operations research, control theory, and associated fields. The highly selective program highlights significant new results such as algorithmic models and complexity bounds. The validation of algorithms, design concepts, or techniques is the common thread running through this focused collection.


Algorithmic Foundations of Robotics XII

Algorithmic Foundations of Robotics XII
Author: Ken Goldberg
Publisher: Springer Nature
Total Pages: 931
Release: 2020-05-06
Genre: Technology & Engineering
ISBN: 3030430898

Download Algorithmic Foundations of Robotics XII Book in PDF, ePub and Kindle

This book presents the outcomes of the 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR 2016). WAFR is a prestigious, single-track, biennial international meeting devoted to recent advances in algorithmic problems in robotics. Robot algorithms are an important building block of robotic systems and are used to process inputs from users and sensors, perceive and build models of the environment, plan low-level motions and high-level tasks, control robotic actuators, and coordinate actions across multiple systems. However, developing and analyzing these algorithms raises complex challenges, both theoretical and practical. Advances in the algorithmic foundations of robotics have applications to manufacturing, medicine, distributed robotics, human–robot interaction, intelligent prosthetics, computer animation, computational biology, and many other areas. The 2016 edition of WAFR went back to its roots and was held in San Francisco, California – the city where the very first WAFR was held in 1994. Organized by Pieter Abbeel, Kostas Bekris, Ken Goldberg, and Lauren Miller, WAFR 2016 featured keynote talks by John Canny on “A Guided Tour of Computer Vision, Robotics, Algebra, and HCI,” Erik Demaine on “Replicators, Transformers, and Robot Swarms: Science Fiction through Geometric Algorithms,” Dan Halperin on “From Piano Movers to Piano Printers: Computing and Using Minkowski Sums,” and by Lydia Kavraki on “20 Years of Sampling Robot Motion.” Furthermore, it included an Open Problems Session organized by Ron Alterovitz, Florian Pokorny, and Jur van den Berg. There were 58 paper presentations during the three-day event. The organizers would like to thank the authors for their work and contributions, the reviewers for ensuring the high quality of the meeting, the WAFR Steering Committee led by Nancy Amato as well as WAFR’s fiscal sponsor, the International Federation of Robotics Research (IFRR), led by Oussama Khatib and Henrik Christensen. WAFR 2016 was an enjoyable and memorable event.


Algorithmic Foundations of Robotics XIV

Algorithmic Foundations of Robotics XIV
Author: Steven M. LaValle
Publisher: Springer Nature
Total Pages: 581
Release: 2021-02-08
Genre: Technology & Engineering
ISBN: 3030667235

Download Algorithmic Foundations of Robotics XIV Book in PDF, ePub and Kindle

This proceedings book helps bring insights from this array of technical sub-topics together, as advanced robot algorithms draw on the combined expertise of many fields—including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science. Intelligent robots and autonomous systems depend on algorithms that efficiently realize functionalities ranging from perception to decision making, from motion planning to control. The works collected in this SPAR book represent the state of the art in algorithmic robotics. They originate from papers accepted to the 14th International Workshop on the Algorithmic Foundations of Robotics (WAFR), traditionally a biannual, single-track meeting of leading researchers in the field of robotics. WAFR has always served as a premiere venue for the publication of some of robotics’ most important, fundamental, and lasting algorithmic contributions, ensuring the rapid circulation of new ideas. Though an in-person meeting was planned for June 15–17, 2020, in Oulu, Finland, the event ended up being canceled owing to the infeasibility of international travel during the global COVID-19 crisis.


Smart Maintenance for Human–Robot Interaction

Smart Maintenance for Human–Robot Interaction
Author: Bo Xing
Publisher: Springer
Total Pages: 319
Release: 2017-09-08
Genre: Technology & Engineering
ISBN: 3319674803

Download Smart Maintenance for Human–Robot Interaction Book in PDF, ePub and Kindle

This self-contained book, written by active researchers, presents up-to-date information on smart maintenance strategies for human–robot interaction (HRI) and the associated applications of novel search algorithms in a single volume, eliminating the need to consult scattered resources. Unlike other books, it addresses maintaining a smart HRI from three dimensions, namely, hardware, cyberware, and hybrid-asset management, covering problems encountered in each through a wide variety of representative examples and elaborated illustrations. Further, the diverse mathematical models and intelligent systems constructions make the book highly practical. It enables readers interested in maintenance, robotics, and intelligent systems but perplexed by myriads of interrelated issues to grasp basic methodologies. At the same time, the referenced literature can be used as a roadmap for conducting deeper researches.


Algorithmic Foundations of Robotics X

Algorithmic Foundations of Robotics X
Author: Emilio Frazzoli
Publisher: Springer
Total Pages: 625
Release: 2013-02-14
Genre: Technology & Engineering
ISBN: 3642362796

Download Algorithmic Foundations of Robotics X Book in PDF, ePub and Kindle

Algorithms are a fundamental component of robotic systems. Robot algorithms process inputs from sensors that provide noisy and partial data, build geometric and physical models of the world, plan high-and low-level actions at different time horizons, and execute these actions on actuators with limited precision. The design and analysis of robot algorithms raise a unique combination of questions from many elds, including control theory, computational geometry and topology, geometrical and physical modeling, reasoning under uncertainty, probabilistic algorithms, game theory, and theoretical computer science. The Workshop on Algorithmic Foundations of Robotics (WAFR) is a single-track meeting of leading researchers in the eld of robot algorithms. Since its inception in 1994, WAFR has been held every other year, and has provided one of the premiere venues for the publication of some of the eld's most important and lasting contributions. This books contains the proceedings of the tenth WAFR, held on June 13{15 2012 at the Massachusetts Institute of Technology. The 37 papers included in this book cover a broad range of topics, from fundamental theoretical issues in robot motion planning, control, and perception, to novel applications.


Algorithmic Foundations of Robotics XIII

Algorithmic Foundations of Robotics XIII
Author: Marco Morales
Publisher: Springer Nature
Total Pages: 959
Release: 2020-05-07
Genre: Technology & Engineering
ISBN: 3030440516

Download Algorithmic Foundations of Robotics XIII Book in PDF, ePub and Kindle

This book gathers the outcomes of the thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR), the premier event for showcasing cutting-edge research on algorithmic robotics. The latest WAFR, held at Universidad Politécnica de Yucatán in Mérida, México on December 9–11, 2018, continued this tradition. This book contains fifty-four papers presented at WAFR, which highlight the latest research on fundamental algorithmic robotics (e.g., planning, learning, navigation, control, manipulation, optimality, completeness, and complexity) demonstrated through several applications involving multi-robot systems, perception, and contact manipulation. Addressing a diverse range of topics in papers prepared by expert contributors, the book reflects the state of the art and outlines future directions in the field of algorithmic robotics.