Robotic Bin Picking for Potentially Tangled Objects

Robotic Bin Picking for Potentially Tangled Objects

Author: Xinyi Zhang

Publisher: Springer

Published: 2024-10-04

Total Pages: 0

ISBN-13: 9783031674532

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This book introduces methods for bin picking in manufacturing. These methods can be used to develop unified, dexterous, and robust bin picking systems for entangled objects. The target objects include both rigid and deformable objects. Robotic bin picking is a valuable task in manufacturing, aiming to automate the assembly process by utilizing robots to pick necessary objects from disorganized bins. Previous studies have addressed various challenges related to bin picking. However, when objects with complex shapes or deformable properties are randomly placed in a bin, they tend to get entangled, making it difficult for the robot to pick up individual items. This poses challenges in perception, as the robot must be capable of distinguishing between isolated objects and potentially tangled ones in a cluttered environment. This book is of interest to students, researchers, and professionals in manufacturing industries.


Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains

Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains

Author: Niklas Kiefl

Publisher: Springer Nature

Published: 2023-06-04

Total Pages: 395

ISBN-13: 3031279336

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This volume of the series ARENA2036 compiles the outcome of the 2nd Stuttgart Conference on Automotive Production (SCAP2022). The peer-reviewed contributions in this book are arranged thematically in three parts and cover a wide variety of topics: (A) Software-defined Manufacturing, (B) Data-driven Technologies, and (C) Advanced Manufacturing and Sustainability. SCAP2022 was organized by ARENA2036 in close collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units of the University of Stuttgart. The Conference took place on site from November 16 - 18, 2022 and provided the opportunity for national and international scientists to present their latest research results. The conference has taken another big step in becoming an established forum for topics related to the production of the future. The great success of this year's conference will be continued with the next SCAP in 2024 with new forward-looking topics. This is an open access book.


Robotics Research

Robotics Research

Author: Aude Billard

Publisher: Springer Nature

Published: 2023-03-07

Total Pages: 580

ISBN-13: 3031255550

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The proceedings of the 2022 edition of the International Symposium of Robotics Research (ISRR) offer a series of peer-reviewed chapters that report on the most recent research results in robotics, in a variety of domains of robotics including robot design, control, robot vision, robot learning, planning, and integrated robot systems. The proceedings entail also invited contributions that offer provocative new ideas, open-ended themes, and new directions for robotics, written by some of the most renown international researchers in robotics. As one of the pioneering symposia in robotics, ISRR has established some of the most fundamental and lasting contributions in the field since 1983. ISRR promotes the development and dissemination of ground-breaking research and technological innovation in robotics useful to society by providing a lively, intimate, forward-looking forum for discussion and debate about the status and future trends of robotics, with emphasis on its potential role to benefit humans.


Advances in Automotive Production Technology – Theory and Application

Advances in Automotive Production Technology – Theory and Application

Author: Philipp Weißgraeber

Publisher: Springer Nature

Published: 2021-06-01

Total Pages: 497

ISBN-13: 3662629623

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This volume of the series ARENA2036 compiles the outcomes of the first Stuttgart Conference on Automotive Production (SCAP2020). It contains peer-reviewed contributions from a theoretical as well as practical vantage point and is topically structured according to the following four sections: It discusses (I) Novel Approaches for Efficient Production and Assembly Planning, (II) Smart Production Systems and Data Services, (III) Advances in Manufacturing Processes and Materials, and (IV) New Concepts for Autonomous, Collaborative Intralogistics. Given the restrictive circumstances of 2020, the conference was held as a fully digital event divided into two parts. It opened with a pre-week, allowing everyone to peruse the scientific contributions at their own pace, followed by a two-day live event that enabled experts from the sciences and the industry to engage in various discussions. The conference has proven itself as an insightful forum that allowed for an expertly exchange regarding the pivotal Advances in Automotive Production and Technology.


Deep Reinforcement Learning

Deep Reinforcement Learning

Author: Hao Dong

Publisher: Springer Nature

Published: 2020-06-29

Total Pages: 526

ISBN-13: 9811540950

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Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.


The Cult of Smart

The Cult of Smart

Author: Fredrik deBoer

Publisher: All Points Books

Published: 2020-08-04

Total Pages: 272

ISBN-13: 1250200385

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Named one of Vulture’s Top 10 Best Books of 2020! Leftist firebrand Fredrik deBoer exposes the lie at the heart of our educational system and demands top-to-bottom reform. Everyone agrees that education is the key to creating a more just and equal world, and that our schools are broken and failing. Proposed reforms variously target incompetent teachers, corrupt union practices, or outdated curricula, but no one acknowledges a scientifically-proven fact that we all understand intuitively: Academic potential varies between individuals, and cannot be dramatically improved. In The Cult of Smart, educator and outspoken leftist Fredrik deBoer exposes this omission as the central flaw of our entire society, which has created and perpetuated an unjust class structure based on intellectual ability. Since cognitive talent varies from person to person, our education system can never create equal opportunity for all. Instead, it teaches our children that hierarchy and competition are natural, and that human value should be based on intelligence. These ideas are counter to everything that the left believes, but until they acknowledge the existence of individual cognitive differences, progressives remain complicit in keeping the status quo in place. This passionate, voice-driven manifesto demands that we embrace a new goal for education: equality of outcomes. We must create a world that has a place for everyone, not just the academically talented. But we’ll never achieve this dream until the Cult of Smart is destroyed.


Rise of the Robots

Rise of the Robots

Author: Martin Ford

Publisher: Basic Books

Published: 2015-05-05

Total Pages: 353

ISBN-13: 0465040675

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The New York Times-bestselling guide to how automation is changing the economy, undermining work, and reshaping our lives Winner of Best Business Book of the Year awards from the Financial Times and from Forbes "Lucid, comprehensive, and unafraid . . . ;an indispensable contribution to a long-running argument." -- Los Angeles Times What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making "good jobs" obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart software. As progress continues, blue and white collar jobs alike will evaporate, squeezing working -- and middle-class families ever further. At the same time, households are under assault from exploding costs, especially from the two major industries-education and health care-that, so far, have not been transformed by information technology. The result could well be massive unemployment and inequality as well as the implosion of the consumer economy itself. The past solutions to technological disruption, especially more training and education, aren't going to work. We must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading to understand what accelerating technology means for our economic prospects-not to mention those of our children-as well as for society as a whole.