A Visual Servoing Approach to Human-Robot Interactive Object Transfer 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 A Visual Servoing Approach to Human-Robot Interactive Object Transfer PDF full book. Access full book title A Visual Servoing Approach to Human-Robot Interactive Object Transfer by Ying Wang. Download full books in PDF and EPUB format.

A Visual Servoing Approach to Human-Robot Interactive Object Transfer

A Visual Servoing Approach to Human-Robot Interactive Object Transfer PDF Author: Ying Wang
Publisher:
ISBN: 9783741204128
Category :
Languages : en
Pages :

Book Description


A Visual Servoing Approach to Human-Robot Interactive Object Transfer

A Visual Servoing Approach to Human-Robot Interactive Object Transfer PDF Author: Ying Wang
Publisher:
ISBN: 9783741204128
Category :
Languages : en
Pages :

Book Description


A Visual Servoing Approach to Human-Robot Interactive Object Transfer

A Visual Servoing Approach to Human-Robot Interactive Object Transfer PDF Author: Ying Wang
Publisher: BoD – Books on Demand
ISBN: 3739238895
Category : Computers
Languages : en
Pages : 194

Book Description
Taking human factors into account, a visual servoing approach aims to facilitate robots with real-time situational information to accomplish tasks in direct and proximate collaboration with people. A hybrid visual servoing algorithm, a combination of the classical position-based and image-based visual servoing, is applied to the whole task space. A model-based tracker monitors the human activities, via matching the human skeleton representation and the image of people in image. Grasping algorithms are implemented to compute grasp points based on the geometrical model of the robot gripper. Whilst major challenges of human-robot interactive object transfer are visual occlusions and making grasping plans, this work proposes a new method of visually guiding a robot with the presence of partial visual occlusion, and elaborate the solution to adaptive robotic grasping.

Social Robotics

Social Robotics PDF Author: Guido Herrmann
Publisher: Springer
ISBN: 3319026755
Category : Computers
Languages : en
Pages : 609

Book Description
This book constitutes the refereed proceedings of the 5th International Conference on Social Robotics, ICSR 2013, held in Bristol, UK, in October 2013. The 55 revised full papers and 13 abstracts were carefully reviewed and selected from 108 submissions and are presented together with one invited paper. The papers cover topics such as human-robot interaction, child development and care for the elderly, as well as technical issues underlying social robotics: visual attention and processing, motor control and learning.

Multi-view Systems for Robot-human Feedback and Object Grasping

Multi-view Systems for Robot-human Feedback and Object Grasping PDF Author: Jinglin Shen
Publisher:
ISBN:
Category : Human-robot interaction
Languages : en
Pages : 214

Book Description
Object grasping is done using the Simultaneous Image/Position Visual Servoing method. An automatic goal pose/image generation method for visual servoing with respect to a projected pattern is proposed. Experimental results are presented to demonstrate how the two systems are used for human-robot-interaction in robot grasping applications.

Human-Robot Interaction

Human-Robot Interaction PDF Author: Gholamreza Anbarjafari
Publisher: BoD – Books on Demand
ISBN: 178923316X
Category : Computers
Languages : en
Pages : 186

Book Description
This book takes the vocal and visual modalities and human-robot interaction applications into account by considering three main aspects, namely, social and affective robotics, robot navigation, and risk event recognition. This book can be a very good starting point for the scientists who are about to start their research work in the field of human-robot interaction.

A Hybrid Physical and Data-drivApproach to Motion Prediction and Control in Human-Robot Collaboration

A Hybrid Physical and Data-drivApproach to Motion Prediction and Control in Human-Robot Collaboration PDF Author: Min Wu
Publisher: Logos Verlag Berlin GmbH
ISBN: 383255484X
Category : Technology & Engineering
Languages : en
Pages : 212

Book Description
In recent years, researchers have achieved great success in guaranteeing safety in human-robot interaction, yielding a new generation of robots that can work with humans in close proximity, known as collaborative robots (cobots). However, due to the lack of ability to understand and coordinate with their human partners, the ``co'' in most cobots still refers to ``coexistence'' rather than ``collaboration''. This thesis aims to develop an adaptive learning and control framework with a novel physical and data-driven approach towards a real collaborative robot. The first part focuses on online human motion prediction. A comprehensive study on various motion prediction techniques is presented, including their scope of application, accuracy in different time scales, and implementation complexity. Based on this study, a hybrid approach that combines physically well-understood models with data-driven learning techniques is proposed and validated through a motion data set. The second part addresses interaction control in human-robot collaboration. An adaptive impedance control scheme with human reference estimation is presented. Reinforcement learning is used to find optimal control parameters to minimize a task-orient cost function without fully knowing the system dynamic. The proposed framework is experimentally validated through two benchmark applications for human-robot collaboration: object handover and cooperative object handling. Results show that the robot can provide reliable online human motion prediction, react early to human motion variation, make proactive contributions to physical collaborations, and behave compliantly in response to human forces.

Advances in Human-Robot Interaction

Advances in Human-Robot Interaction PDF Author: Erwin Prassler
Publisher: Springer Science & Business Media
ISBN: 9783540232117
Category : Technology & Engineering
Languages : en
Pages : 434

Book Description
"Advances in Human-Robot Interaction" provides a unique collection of recent research in human-robot interaction. It covers the basic important research areas ranging from multi-modal interfaces, interpretation, interaction, learning, or motion coordination to topics such as physical interaction, systems, and architectures. The book addresses key issues of human-robot interaction concerned with perception, modelling, control, planning and cognition, covering a wide spectrum of applications. This includes interaction and communication with robots in manufacturing environments and the collaboration and co-existence with assistive robots in domestic environments. Among the presented examples are a robotic bartender, a new programming paradigm for a cleaning robot, or an approach to interactive teaching of a robot assistant in manufacturing environment. This carefully edited book reports on contributions from leading German academic institutions and industrial companies brought together within MORPHA, a 4 year project on interaction and communication between humans and anthropomorphic robot assistants.

Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction

Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction PDF Author: Bin Fang
Publisher: Frontiers Media SA
ISBN: 2889668444
Category : Science
Languages : en
Pages : 224

Book Description


Visual Servoing via Advanced Numerical Methods

Visual Servoing via Advanced Numerical Methods PDF Author: Graziano Chesi
Publisher: Springer
ISBN: 1849960895
Category : Technology & Engineering
Languages : en
Pages : 410

Book Description
Robots able to imitate human beings have been at the core of stories of science?ctionaswellasdreamsofinventorsforalongtime.Amongthe various skills that Mother Nature has provided us with and that often go forgotten, the ability of sight is certainly one of the most important. Perhaps inspired by tales of Isaac Asimov, comics and cartoons, and surely helped by the progress of electronics in recent decades, researchers have progressively made the dream of creating robots able to move and operate by exploiting arti?cial vision a concrete reality. Technically speaking, we would say that these robots position themselves and their end-e?ectors by using the view provided by some arti?cial eyes as feedback information. Indeed, the arti?cial eyes are visual sensors such as cameras that have the function to acquire an image of the environment. Such an image describes if and how the robot is moving toward the goal and hence constitutes feedback information. This procedure is known in robotics with the term visual servoing, and it is nothing else than an imitation of the intrinsic mechanism that allows human beings to realize daily tasks such as reaching the door of the house or grasping a cup of co?ee.

Modelling Human Motion

Modelling Human Motion PDF Author: Nicoletta Noceti
Publisher: Springer Nature
ISBN: 3030467325
Category : Computers
Languages : en
Pages : 351

Book Description
The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.