Learning and Execution of Object Manipulation Tasks on Humanoid Robots

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Author :
Publisher : KIT Scientific Publishing
ISBN 13 : 3731507498
Total Pages : 258 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Learning and Execution of Object Manipulation Tasks on Humanoid Robots by : Waechter, Mirko

Download or read book Learning and Execution of Object Manipulation Tasks on Humanoid Robots written by Waechter, Mirko and published by KIT Scientific Publishing. This book was released on 2018-03-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.

Learning and Execution of Object Manipulation Tasks on Humanoid Robots

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Author :
Publisher :
ISBN 13 : 9781013279164
Total Pages : 254 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Learning and Execution of Object Manipulation Tasks on Humanoid Robots by : Mirko Wächter

Download or read book Learning and Execution of Object Manipulation Tasks on Humanoid Robots written by Mirko Wächter and published by . This book was released on 2020-10-09 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Robot Learning from Human Demonstration

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Publisher : Springer Nature
ISBN 13 : 3031015703
Total Pages : 109 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Robot Learning from Human Demonstration by : Sonia Dechter

Download or read book Robot Learning from Human Demonstration written by Sonia Dechter and published by Springer Nature. This book was released on 2022-06-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminology seen in the literature as well as an outline of the design choices one has in designing an LfD system. Chapter 2 gives a brief survey of the psychology literature that provides insights from human social learning that are relevant to designing robotic social learners. Chapter 3 walks through an LfD interaction, surveying the design choices one makes and state of the art approaches in prior work. First, is the choice of input, how the human teacher interacts with the robot to provide demonstrations. Next, is the choice of modeling technique. Currently, there is a dichotomy in the field between approaches that model low-level motor skills and those that model high-level tasks composed of primitive actions. We devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing task model. And finally, Chapter 8 provides best practices for evaluation of LfD systems, with a focus on how to approach experiments with human subjects in this domain.

Motion Planning for Humanoid Robots

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Publisher : Springer Science & Business Media
ISBN 13 : 1849962200
Total Pages : 320 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Motion Planning for Humanoid Robots by : Kensuke Harada

Download or read book Motion Planning for Humanoid Robots written by Kensuke Harada and published by Springer Science & Business Media. This book was released on 2010-08-12 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research topics in humanoid robotics research and the last few years have witnessed considerable progress in the field. Motion Planning for Humanoid Robots surveys the remarkable recent advancement in both the theoretical and the practical aspects of humanoid motion planning. Various motion planning frameworks are presented in Motion Planning for Humanoid Robots, including one for skill coordination and learning, and one for manipulating and grasping tasks. The problem of planning sequences of contacts that support acyclic motion in a highly constrained environment is addressed and a motion planner that enables a humanoid robot to push an object to a desired location on a cluttered table is described. The main areas of interest include: • whole body motion planning, • task planning, • biped gait planning, and • sensor feedback for motion planning. Torque-level control of multi-contact behavior, autonomous manipulation of moving obstacles, and movement control and planning architecture are also covered. Motion Planning for Humanoid Robots will help readers to understand the current research on humanoid motion planning. It is written for industrial engineers, advanced undergraduate and postgraduate students.

Advanced Bimanual Manipulation

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Publisher : Springer
ISBN 13 : 3642290418
Total Pages : 284 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Advanced Bimanual Manipulation by : Bruno Siciliano

Download or read book Advanced Bimanual Manipulation written by Bruno Siciliano and published by Springer. This book was released on 2012-04-10 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dexterous and autonomous manipulation is a key technology for the personal and service robots of the future. Advances in Bimanual Manipulation edited by Bruno Siciliano provides the robotics community with the most noticeable results of the four-year European project DEXMART (DEXterous and autonomous dual-arm hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition). The volume covers a host of highly important topics in the field, concerned with modelling and learning of human manipulation skills, algorithms for task planning, human-robot interaction, and grasping, as well as hardware design of dexterous anthropomorphic hands. The results described in this five-chapter collection are believed to pave the way towards the development of robotic systems endowed with dexterous and human-aware dual-arm/hand manipulation skills for objects, operating with a high degree of autonomy in unstructured real-world environments.

Cognitive Reasoning for Compliant Robot Manipulation

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Publisher : Springer
ISBN 13 : 3030048586
Total Pages : 186 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Cognitive Reasoning for Compliant Robot Manipulation by : Daniel Sebastian Leidner

Download or read book Cognitive Reasoning for Compliant Robot Manipulation written by Daniel Sebastian Leidner and published by Springer. This book was released on 2018-12-08 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to achieve human-like performance, this book covers the four steps of reasoning a robot must provide in the concept of intelligent physical compliance: to represent, plan, execute, and interpret compliant manipulation tasks. A classification of manipulation tasks is conducted to identify the central research questions of the addressed topic. It is investigated how symbolic task descriptions can be translated into meaningful robot commands.Among others, the developed concept is applied in an actual space robotics mission, in which an astronaut aboard the International Space Station (ISS) commands the humanoid robot Rollin' Justin to maintain a Martian solar panel farm in a mock-up environment

Understanding and Learning Robotic Manipulation Skills from Humans

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Understanding and Learning Robotic Manipulation Skills from Humans by : Elena Galbally Herrero

Download or read book Understanding and Learning Robotic Manipulation Skills from Humans written by Elena Galbally Herrero and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans are constantly learning new skills and improving upon their existing abilities. In particular, when it comes to manipulating objects, humans are extremely effective at generalizing to new scenarios and using physical compliance to our advantage. Compliance is key to generating robust behaviors by reducing the need to rely on precise trajectories. Programming robots through predefined trajectories has been highly successful for performing tasks in structured environments, such as assembly lines. However, such an approach is not viable for real-time operations in real-world scenarios. Inspired by humans, we propose to program robots at a higher level of abstraction by using primitives that leverage contact information and compliant strategies. Compliance increases robustness to uncertainty in the environment and primitives provide us with atomic actions that can be reused to avoid coding new tasks from scratch. We have developed a framework that allows us to: (i) collect and segment human data from multiple contact-rich tasks through direct or haptic demonstrations, (ii) analyze this data and extract the human's compliant strategy, and (iii) encode the strategy into robot primitives using task-level controllers. During autonomous task execution, haptic interfaces enable human real-time intervention and additional data collection for recovery from failures. At the core of this framework is the notion of a compliant frame - an origin and three directions in space along and about which we control motion and compliance. The compliant frame is attached to the object being manipulated and together with the desired task parameters defines a primitive. Task parameters include desired forces, moments, positions, and orientations. This task specification provides a physically meaningful, low-dimensional, and robot-independent representation. This thesis presents a novel framework for learning manipulation skills from demonstration data. Leveraging compliant frames enables us to understand human actions and extract strategies that generalize across objects and robots. The framework was extensively validated through simulation and hardware experiments, including five real-world construction tasks.

A Perspective on Artificial Intelligence in Manufacturing

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Publisher : Springer Nature
ISBN 13 : 3031218280
Total Pages : 142 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis A Perspective on Artificial Intelligence in Manufacturing by : George Chryssolouris

Download or read book A Perspective on Artificial Intelligence in Manufacturing written by George Chryssolouris and published by Springer Nature. This book was released on 2023-01-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.

Intelligent Human Computer Interaction

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Publisher : Springer
ISBN 13 : 3319525034
Total Pages : 303 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Intelligent Human Computer Interaction by : Anupam Basu

Download or read book Intelligent Human Computer Interaction written by Anupam Basu and published by Springer. This book was released on 2017-01-20 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th International Conference on Intelligent Human Computer Interaction, IHCI 2016, held in Pilani, India, in December 2016. The 22 regular papers and 3 abstracts of invited talks included in this volume were carefully reviewed and selected from 115 initial submissions. They deal with intelligent interfaces; brain machine interaction; HCI applications and technology; and interface and systems.

Learning for Adaptive and Reactive Robot Control

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Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.