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Robotic Tactile Perception and Understanding

Robotic Tactile Perception and Understanding
Author: Huaping Liu
Publisher: Springer
Total Pages: 207
Release: 2018-03-20
Genre: Computers
ISBN: 9811061718

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This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.


Robotic Tactile Sensing

Robotic Tactile Sensing
Author: Ravinder S. Dahiya
Publisher: Springer Science & Business Media
Total Pages: 258
Release: 2012-07-29
Genre: Technology & Engineering
ISBN: 9400705794

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Future robots are expected to work closely and interact safely with real-world objects and humans alike. Sense of touch is important in this context, as it helps estimate properties such as shape, texture, hardness, material type and many more; provides action related information, such as slip detection; and helps carrying out actions such as rolling an object between fingers without dropping it. This book presents an in-depth description of the solutions available for gathering tactile data, obtaining aforementioned tactile information from the data and effectively using the same in various robotic tasks. The efforts during last four decades or so have yielded a wide spectrum of tactile sensing technologies and engineered solutions for both intrinsic and extrinsic touch sensors. Nowadays, new materials and structures are being explored for obtaining robotic skin with physical features like bendable, conformable, and stretchable. Such features are important for covering various body parts of robots or 3D surfaces. Nonetheless, there exist many more hardware, software and application related issues that must be considered to make tactile sensing an effective component of future robotic platforms. This book presents an in-depth analysis of various system related issues and presents the trade-offs one may face while developing an effective tactile sensing system. For this purpose, human touch sensing has also been explored. The design hints coming out of the investigations into human sense of touch can be useful in improving the effectiveness of tactile sensory modality in robotics and other machines. Better integration of tactile sensors on a robot’s body is prerequisite for the effective utilization of tactile data. The concept of semiconductor devices based sensors is an interesting one, as it allows compact and fast tactile sensing systems with capabilities such as human-like spatio-temporal resolution. This book presents a comprehensive description of semiconductor devices based tactile sensing. In particular, novel Piezo Oxide Semiconductor Field Effect Transistor (POSFET) based approach for high resolution tactile sensing has been discussed in detail. Finally, the extension of semiconductors devices based sensors concept to large and flexile areas has been discussed for obtaining robotic or electronic skin. With its multidisciplinary scope, this book is suitable for graduate students and researchers coming from diverse areas such robotics (bio-robots, humanoids, rehabilitation etc.), applied materials, humans touch sensing, electronics, microsystems, and instrumentation. To better explain the concepts the text is supported by large number of figures.


Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation
Author: Qiang Li
Publisher: Academic Press
Total Pages: 374
Release: 2022-04-02
Genre: Computers
ISBN: 0323904173

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Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control. The book introduces recent work about human dexterous skill representation and learning, along with discussions of tactile sensing and its applications on unknown objects’ property recognition and reconstruction. Sections also introduce the adaptive control schema and its learning by imitation and exploration. Other chapters describe the fundamental part of relevant research, paying attention to the connection among different fields and showing the state-of-the-art in related branches. The book summarizes the different approaches and discusses the pros and cons of each. Chapters not only describe the research but also include basic knowledge that can help readers understand the proposed work, making it an excellent resource for researchers and professionals who work in the robotics industry, haptics and in machine learning. Provides a review of tactile perception and the latest advances in the use of robotic dexterous manipulation Presents the most detailed work on synthesizing intelligent tactile perception, skill learning and adaptive control Introduces recent work on human’s dexterous skill representation and learning and the adaptive control schema and its learning by imitation and exploration Reveals and illustrates how robots can improve dexterity by modern tactile sensing, interactive perception, learning and adaptive control approaches


A New Approach to Robotic Tactile Perception

A New Approach to Robotic Tactile Perception
Author: Moore School of Electrical Engineering. Department of Computer and Information Science
Publisher:
Total Pages:
Release: 1983
Genre:
ISBN:

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Advanced Tactile Sensing For Robotics

Advanced Tactile Sensing For Robotics
Author: Howard R Nicholls
Publisher: World Scientific
Total Pages: 320
Release: 1992-12-10
Genre: Computers
ISBN: 9814505781

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Advanced robot systems require sensory information to enable them to make decisions and to carry out actions in a versatile, autonomous way. Humans make considerable use of information derived through touch, and an emerging domain of robot sensing is tactile sensing. This book considers various aspects of tactile sensing, from hardware design through to the use of tactile data in exploratory situations using a multi-fingered robot hand.In the first part of the book, the current state of progress of tactile sensing is surveyed, and it is found that the field is still in an early stage of development. Next, some fundamental issues in planar elasticity, concerning the interaction between tactile sensors and the environment, are presented. Having established how the basic data can be derived from the sensors, the issues of what form tactile sensors should take, and how they should be used, are considered. This is particularly important given the infancy of this field. The human tactile system is examined, and then biological touch and its implications for robotics is looked at. Some experiments in dextrous manipulation using a robot hand are described, which apply some of these results. The integration of tactile sensors into a complete system is also considered, and another, novel, approach for using touch sensing in a flexible assembly machine is described.Both basic material and new research results are provided in this book, thus catering to different levels of readers. The chapters by world experts in different aspects of the field are integrated well into one volume. The editor and authors have produced a thorough and in-depth survey of all work in robot tactile sensing, making the book essential reading for all researchers in this emergent field.


Tactile Sensing and Displays

Tactile Sensing and Displays
Author: Javad Dargahi
Publisher: John Wiley & Sons
Total Pages: 287
Release: 2012-11-06
Genre: Science
ISBN: 1118357973

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Comprehensively covers the key technologies for the development of tactile perception in minimally invasive surgery Covering the timely topic of tactile sensing and display in minimally invasive and robotic surgery, this book comprehensively explores new techniques which could dramatically reduce the need for invasive procedures. The tools currently used in minimally invasive surgery (MIS) lack any sort of tactile sensing, significantly reducing the performance of these types of procedures. This book systematically explains the various technologies which the most prominent researchers have proposed to overcome the problem. Furthermore, the authors put forward their own findings, which have been published in recent patents and patent applications. These solutions offer original and creative means of surmounting the current drawbacks of MIS and robotic surgery. Key features:- Comprehensively covers topics of this ground-breaking technology including tactile sensing, force sensing, tactile display, PVDF fundamentals Describes the mechanisms, methods and sensors that measure and display kinaesthetic and tactile data between a surgical tool and tissue Written by authors at the cutting-edge of research into the area of tactile perception in minimally invasive surgery Provides key topic for academic researchers, graduate students as well as professionals working in the area


High-resolution Tactile Sensing for Robotic Perception

High-resolution Tactile Sensing for Robotic Perception
Author: Wenzhen Yuan (Ph. D.)
Publisher:
Total Pages: 113
Release: 2018
Genre:
ISBN:

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Why is it so difficult for the present-day robots to act intelligently in the real-world environment? A major challenge lies in the lack of adequate tactile sensing technologies. Robots need tactile sensing to understand the physical environment, and detect the contact states during manipulation. A recently developed high-resolution tactile sensor, GelSight, which measures detailed information about the geometry and traction field on the contact surface, shows substantial potential for extending the application of tactile sensing in robotics. The major questions are: (1) What physical information is available from the high-resolution sensor? (2) How can the robot interpret and use this information? This thesis aims at addressing the two questions above. On the one hand, the tactile feedback helps robots to interact better with the environment, i.e., perform better exploration and manipulation. I investigate various techniques for detecting incipient slip and full slip during contact with objects, which helps a robot to grasp them securely. On the other hand, tactile sensing also helps a robot to better understand the physical environment. That can be reflected in estimating the material properties of the surrounding objects. I will present my work on using tactile sensing to estimate the hardness of arbitrary objects, and making a robot autonomously explore the comprehensive properties of common clothing. I also show our work on the unsupervised exploration of latent properties of fabrics through cross-modal learning with vision and touch.


Visuo-tactile Perception for Dexterous Robotic Manipulation

Visuo-tactile Perception for Dexterous Robotic Manipulation
Author: Maria Bauza Villalonga
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

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In this thesis, we develop visuo-tactile perception to enable general and precise robotic manipulation. In particular, we want to study how to effectively process visual and tactile information to allow robots to expand their capabilities while remaining accurate and reliable. We begin our work by focusing on developing tools for tactile perception. For the task of grasping, we use tactile observations to assess and improve grasp stability. Tactile information also allows extracting geometric information from contacts which is a task-independent feature. By learning to map tactile observations to contact shapes, we show robots can reconstruct accurate 3D models of objects, which can later be used for pose estimation. We build on the idea of using geometric information from contacts by developing tools that accurately render contact geometry in simulation. This enables us to develop a probabilistic approach to pose estimation for novel objects based on matching real visuo-tactile observations to a set of simulated ones. As a result, our method does not rely on real data and yields accurate pose distributions. Finally, we demonstrate how this approach to perception enables precise manipulations. In particular, we consider the task of precise pick-and-place of novel objects. Combining perception with task-aware planning, we build a robotic system that identifies in simulation which object grasps will facilitate grasping, planning, and perception; and selects the best one during execution. Our approach adapts to new objects by learning object-dependent models purely in simulation, allowing a robot to manipulate new objects successfully and perform highly accurate placements.


Tactile Perception, Haptic Exploration, and Map Rendering for Robots that Operate Within Granular Materials

Tactile Perception, Haptic Exploration, and Map Rendering for Robots that Operate Within Granular Materials
Author: Jia Shengxin
Publisher:
Total Pages: 120
Release: 2022
Genre:
ISBN:

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Robots are expected to operate autonomously in unstructured, real-world environments. For effective physical interaction with the world, robots must build and refine their understanding of the environment through sensory feedback. However, tactile feedback has been used primarily in open-air environments and not within granular materials. When robots operate within opaque granular materials, tactile and proprioceptive feedback can be more informative than visual feedback. Our long-term objective is to leverage tactile sensors to develop efficient algorithms that enable robots to infer environmental conditions and to plan exploratory movements that reduce uncertainty in their models of the world. Motivated by the need to keep humans out of harm's way in search and rescue or other field environments, we address the challenge of using tactile feedback to locate objects buried in granular materials. In study \#1, we designed a tactile perception pipeline for sensorized robot fingertips that directly interact with granular materials in teleoperated systems. We proposed an architecture called the Sparse-Fusion Recurrent Neural Network (SF-RNN) to detect contact with an object buried within granular materials. We leveraged multimodal tactile sensor data in order to classify contact states within five different granular materials. We also constructed a belief map that combines probabilistic contact state estimates and fingertip location. In study \#2, we developed a framework for tactile perception, mapping, and haptic exploration for the autonomous localization of objects buried in granular materials. The haptic exploration task was performed within densely packed sand mixtures using sensor models that account for granular material characteristics and aid in the interpretation of interaction forces between the robot and its environment. The haptic exploration strategy was designed to efficiently locate and refine the outline of a buried object while simultaneously minimizing potentially damaging physical interactions with the object. Continuous occupancy maps were generated that fused local, sparse tactile information into global maps. In summary, we developed tactile-based frameworks for perception, planning, and mapping for the challenging task of localizing objects buried within granular materials. Our work can serve as a foundation for more complex, autonomous robotic behaviors such as the excavation and bimanual retrieval of fragile, buried objects.


Tactile Sensors for Robotic Applications

Tactile Sensors for Robotic Applications
Author: Salvatore Pirozzi
Publisher: MDPI
Total Pages: 248
Release: 2021-03-17
Genre: Technology & Engineering
ISBN: 3036504249

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The book covers different aspects: - Innovative technologies for tactile sensors development - Tactile data interpretation for control purposes - Alternative sensing technologies - Multi-sensor systems for grasping and manipulation - Sensing solutions for impaired people