Download or read book Sensor Based Manipulation for Multifingered Robotic Hand written by Shilong Jiang and published by . This book was released on 2000 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sensor based Planning for Grasping and Manipulation with Multifingered Robot Hands written by University of Massachusetts at Amherst. Department of Computer and Information Science and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Sensor Based Manipulation with Robotic Hands written by Peter K. Allen and published by . This book was released on 1998 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our hand research has focused on enhancing the dexterity of robotic hands and understanding the nature of dexterous manipulation. The premise of the research is that incorporating task level understanding into a manipulation system simplifies robot planning and increases autonomy. The study of task level strategies for dexterous manipulation has led to development of several novel techniques for controlling the fingertip forces during manipulation and fingertip motion planning. The insights into increased autonomy have led to the development of a novel technique for teleoperating robot hands. The traditional technique of teleoperating a robot hand is to use a Dataglove or exoskeleton master; there is a direct mapping from the human hand to the robot hand. This approach has several limitations which we have addressed by using a simpler control interface with a joystick or keyboard. Enhancing the robot hand's autonomy allows for simpler control strategies and gives it greater functionality than by traditional means. Control of the hand is shared between the user and the robot. We have developed a prototype teleoperation system using a Utah/MIT hand. Our research will ultimately have application in medicine and industry, for enhancement of prosthetic hands and the development of more complex robotic grippers.

Download or read book Dextrous Robot Hands written by Subramanian T. Venkataraman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manipulation using dextrous robot hands has been an exciting yet frustrating research topic for the last several years. While significant progress has occurred in the design, construction, and low level control of robotic hands, researchers are up against fundamental problems in developing algorithms for real-time computations in multi-sensory processing and motor control. The aim of this book is to explore parallels in sensorimotor integration in dextrous robot and human hands, addressing the basic question of how the next generation of dextrous hands should evolve. By bringing together experimental psychologists, kinesiologists, computer scientists, electrical engineers, and mechanical engineers, the book covers topics that range from human hand usage in prehension and exploration, to the design and use of robotic sensors and multi-fingered hands, and to control and computational architectures for dextrous hand usage. While the ultimate goal of capturing human hand versatility remains elusive, this book makes an important contribution to the design and control of future dextrous robot hands through a simple underlying message: a topic as complex as dextrous manipulation would best be addressed by collaborative, interdisciplinary research, combining high level and low level views, drawing parallels between human studies and analytic approaches, and integrating sensory data with motor commands. As seen in this text, success has been made through the establishment of such collaborative efforts. The future will hold up to expectations only as researchers become aware of advances in parallel fields and as a common vocabulary emerges from integrated perceptions about manipulation.

Download or read book Advanced Tactile Sensing For Robotics written by Howard R Nicholls and published by World Scientific. This book was released on 1992-12-10 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Theory of Robot Control written by Carlos Canudas de Wit and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of the latest research results in the theory of robot control, structured so as to echo the gradual development of robot control over the last fifteen years. In three major parts, the editors deal with the modelling and control of rigid and flexible robot manipulators and mobile robots. Most of the results on rigid robot manipulators in part I are now well established, while for flexible manipulators in part II, some problems still remain unresolved. Part III deals with the control of mobile robots, a challenging area for future research. The whole is rounded off with an appendix reviewing basic definitions and the mathematical background for control theory. The particular combination of topics makes this an invaluable source of information for both graduate students and researchers.

Download or read book Grasping in Robotics written by Giuseppe Carbone and published by Springer Science & Business Media. This book was released on 2012-11-15 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grasping in Robotics contains original contributions in the field of grasping in robotics with a broad multidisciplinary approach. This gives the possibility of addressing all the major issues related to robotized grasping, including milestones in grasping through the centuries, mechanical design issues, control issues, modelling achievements and issues, formulations and software for simulation purposes, sensors and vision integration, applications in industrial field and non-conventional applications (including service robotics and agriculture). The contributors to this book are experts in their own diverse and wide ranging fields. This multidisciplinary approach can help make Grasping in Robotics of interest to a very wide audience. In particular, it can be a useful reference book for researchers, students and users in the wide field of grasping in robotics from many different disciplines including mechanical design, hardware design, control design, user interfaces, modelling, simulation, sensors and humanoid robotics. It could even be adopted as a reference textbook in specific PhD courses.

Download or read book Robot Hands And Multi fingered Haptic Interfaces Fundamentals And Applications written by Haruhisa Kawasaki and published by World Scientific. This book was released on 2015-03-04 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot Hands and Multi-Fingered Haptic Interfaces is a monograph focusing on the comparison of human hands with robot hands, the fundamentals behind designing and creating the latter, and robotics' latest advancements in haptic technology.This work discusses the design of robot hands; contact models at grasping; kinematic models of constraint; dynamic models of the multi-fingered hand; the stability theorem of non-linear control systems; robot hand control; design and control of multi-fingered haptic interfaces; application systems using multi-fingered haptic interfaces; and telecontrol of robot hands using a multi-fingered haptic interface.Robot Hands and Multi-Fingered Haptic Interfaces is intended mainly for readers who have a foundation in basic robot arm engineering. To understand robot hand manipulation, readers must study kinematic constraint models of fingers, hand dynamics with constraints, stability theorems of non-linear control, and multi-fingered hand control — this book will benefit readers' understanding of this full range of issues regarding robot hand manipulation.

Download or read book Tactile Sensing Skill Learning and Robotic Dexterous Manipulation written by Qiang Li and published by Academic Press. This book was released on 2022-04-02 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Skin like Multi modal Sensing Devices for Dexterous Robotic Hands written by Jooyeun Ham and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Skin-like sensing would be useful for many applications, ranging from human-friendly robots to prosthetics. However, while tactile sensors have been studied since the 1970s, they remain relatively little used in applications. The main challenges are practical: there is a need for ``electronic skins'' that are sensitive, flexible and even stretchable, and robust enough to cover the surfaces of arms and hands with many sensing elements. The devices should have high sensitivity and be multi-modal, i.e., able to report changes in normal and shear stress, as well as temperature and proximity. The sensor skins should also be low cost and robust. The goal of my thesis work is to provide skin-like cutaneous sensing ability to robotic hands. The chapters in this thesis include manufacturing techniques and materials for flexible, low-cost, lightweight, sensitive, robust, and multi-modal sensory skins. The sensors include multiaxial force/torque elements, proximity sensors, and temperature sensors. Briefly, the work presented here provides the following contributions in support of cutaneous sensing: fabrication (patterning and bonding), material (dielectric elastomer), sensing devices (multi-axial and multi-modal sensors, and sensor network), integration (soft robotic skin for manipulation with robotic hands). The first contribution concerns manufacturing techniques to fabricate sensing devices in thin films. The sensors and electrodes are created using an ultraviolet laser to ablate and cut patterns on metalized plastic film. With this computer-aided subtraction-based fabrication process, the sensors and their arrangement are easy to customize for different applications. A titanium-induced bonding technique is also introduced and shown to achieve strong bonding between an electrode and a dielectric layer. The rendered strong adhesion on the interface of the device component allows a robust capacitive sensor to withstand significant shear and rotational loads, which increases the sensor's dynamic range. Next, a material is presented to enhance the sensitivity of capacitive sensing devices. This material is afforded by a combination of a titanium-based solution and a stretchable elastomer. We observed that the titanium oxo network and silicone elastomer matrix composite have the potential to provide stretchability and adhesion for the dielectric, for a robust and sensitive device. Using the developed manufacturing techniques and materials, we next developed multi-modal sensing devices inspired by the human cutaneous sensing system. We explored capacitive multi-axial sensor designs that conform to curved surfaces, allowing them to wrap around the back and sides of a robotic hand. Each taxel measures a combination of normal, shear, and torsional stresses. With active shielding and a microstructured porous dielectric material, the sensor has a desirable combination of wide dynamic range with high resolution (i.e., 0.5 to 500 kPa in the normal direction), relative immunity to electromagnetic noise, and the ability to handle wet and slippery materials, such as tofu or Jell-O. By dynamically changing the patterns and combinations of electrodes sampled, our developed sensor can provide dynamic as well as low frequency tactile information, even when scaled to large areas. Empirical results indicate that our sensor can detect changes in grasp force and events such as making or breaking contact and the onset of linear or torsional sliding. An additional development consists of a low-cost, stretchable Kirigami sensor network for soft robotic devices. Soft robotic hands can facilitate human-robot interaction by allowing robots to grasp a wide range of objects safely and gently. However, their performance has been hampered by a lack of suitable sensors. To address this, we developed a multi-modal sensor network integrated with a soft robotic hand. The manufacturing approach uses UV laser ablation to create sensor patterns and UV laser cutting for stretchable interconnections in a Kirigami pattern. Temperature and proximity sensors are combined into a single network. We evaluated both the interconnects and sensors by measuring the impedance change to external stimuli and observed that sensor readings are not substantially affected by stretching the interconnects. We tested several interaction scenarios, including identifying hot and cold water bottles, a warm burrito for food handling, and a warm baby-like doll for future medical applications with the sensor sheet wrapped around a soft robotic gripper. Our demonstrations showed that robotic hands can have cutaneous sensing that provides robust and reliable multi-modal information. In summary, we have fabricated sensing devices and networks using laser ablation and reliable bonding techniques. The multi-axial and multi-modal cutaneous sensing devices are demonstrated on two robotic platforms. The first is a gripper that manipulates a variety of fragile and slippery foods. The second is a soft robotic hand that measures temperature while maintaining gentle contact. Collectively, our experimental results show that feedback from the tactile sensors enables robots to identify contact stimuli in support of an improved understanding of objects and the environment with which they are interacting.

Download or read book Human and Robot Hands written by Matteo Bianchi and published by Springer. This book was released on 2016-02-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics. Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems. Presented in two parts, the first part, Neuroscience, provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part, Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one. Human and Robot Hands provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.

Download or read book Advanced Bimanual Manipulation written by Bruno Siciliano and published by Springer Science & Business Media. This book was released on 2012-04-12 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.

Download or read book In Hand Object Localization and Control Enabling Dexterous Manipulation with Robotic Hands written by Martin Pfanne and published by Springer Nature. This book was released on 2022-08-31 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.

Download or read book Human Inspired Dexterity in Robotic Manipulation written by Tetsuyou Watanabe and published by Academic Press. This book was released on 2018-06-26 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Inspired Dexterity in Robotic Manipulation provides up-to-date research and information on how to imitate humans and realize robotic manipulation. Approaches from both software and hardware viewpoints are shown, with sections discussing, and highlighting, case studies that demonstrate how human manipulation techniques or skills can be transferred to robotic manipulation. From the hardware viewpoint, the book discusses important human hand structures that are key for robotic hand design and how they should be embedded for dexterous manipulation. This book is ideal for the research communities in robotics, mechatronics and automation. Investigates current research direction in robotic manipulation Shows how human manipulation techniques and skills can be transferred to robotic manipulation Identifies key human hand structures for robotic hand design and how they should be embedded in the robotic hand for dexterous manipulation

Download or read book The Human Hand as an Inspiration for Robot Hand Development written by Ravi Balasubramanian and published by Springer. This book was released on 2014-01-03 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The Human Hand as an Inspiration for Robot Hand Development” presents an edited collection of authoritative contributions in the area of robot hands. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities. The twenty-four chapters discuss the field of robotic grasping and manipulation viewed in light of the human hand’s capabilities and push the state-of-the-art in robot hand design and control. Topics discussed include human hand biomechanics, neural control, sensory feedback and perception, and robotic grasp and manipulation. This book will be useful for researchers from diverse areas such as robotics, biomechanics, neuroscience, and anthropologists.

Download or read book Tactile Sensors for Robotic Applications written by Salvatore Pirozzi and published by MDPI. This book was released on 2021-03-17 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Grasping and Manipulation with Multifingered Robot Hands written by Roderic A. Grupen and published by . This book was released on 1988 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: