Development of a Bio-inspired MEMS Based Tactile Sensor Array for an Artificial Finger

Development of a Bio-inspired MEMS Based Tactile Sensor Array for an Artificial Finger PDF Author: Hassena Bashir Muhammad
Publisher:
ISBN:
Category :
Languages : en
Pages : 208

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Development of a Bio-inspired MEMS Based Tactile Sensor Array for an Artificial Finger

Development of a Bio-inspired MEMS Based Tactile Sensor Array for an Artificial Finger PDF Author: Hassena Bashir Muhammad
Publisher:
ISBN:
Category :
Languages : en
Pages : 208

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The Human Hand as an Inspiration for Robot Hand Development

The Human Hand as an Inspiration for Robot Hand Development PDF Author: Ravi Balasubramanian
Publisher: Springer
ISBN: 3319030175
Category : Technology & Engineering
Languages : en
Pages : 573

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Book Description
“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.

Advances in Autonomous Robotics Systems

Advances in Autonomous Robotics Systems PDF Author: Michael Mistry
Publisher: Springer
ISBN: 3319104012
Category : Computers
Languages : en
Pages : 296

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Book Description
This book constitutes the refereed proceedings of the 15th Conference on Advances in Autonomous Robotics, TAROS 2014, held in Birmingham, UK, in September 2014. The 23 revised full papers presented together with 9 extended abstracts were carefully reviewed and selected from 48 submissions. The overall program covers various aspects of robotics, including navigation, planning, sensing and perception, flying and swarm robots, ethics, humanoid robotics, human-robot interaction, and social robotics.

Active Touch Sensing

Active Touch Sensing PDF Author: Robyn Grant
Publisher: Frontiers E-books
ISBN: 2889192482
Category : Human-machine systems
Languages : en
Pages : 174

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Book Description
Active touch can be described as the control of the position and movement of tactile sensing systems to facilitate information gain. In other words, it is finding out about the world by reaching out and exploring—sensing by ‘touching’ as opposed to ‘being touched’. In this Research Topic (with cross-posting in both Behavioural Neuroscience and Neurorobotics) we welcomed articles from junior researchers on any aspect of active touch. We were especially interested in articles on the behavioral, physiological and neuronal underpinnings of active touch in a range of species (including humans) for submission to Frontiers in Behavioural Neuroscience. We also welcomed articles describing robotic systems with biomimetic or bio-inspired tactile sensing systems for publication in Frontiers in Neurorobotics.

Flexible Robotics

Flexible Robotics PDF Author: Mathieu Grossard
Publisher: John Wiley & Sons
ISBN: 1118572122
Category : Technology & Engineering
Languages : en
Pages : 290

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Book Description
The objective of this book is to provide those interested in the field of flexible robotics with an overview of several scientific and technological advances in the practical field of robotic manipulation. The different chapters examine various stages that involve a number of robotic devices, particularly those designed for manipulation tasks characterized by mechanical flexibility. Chapter 1 deals with the general context surrounding the design of functionally integrated microgripping systems. Chapter 2 focuses on the dual notations of modal commandability and observability, which play a significant role in the control authority of vibratory modes that are significant for control issues. Chapter 3 presents different modeling tools that allow the simultaneous use of energy and system structuring notations. Chapter 4 discusses two sensorless methods that could be used for manipulation in confined or congested environments. Chapter 5 analyzes several appropriate approaches for responding to the specific needs required by versatile prehension tasks and dexterous manipulation. After a classification of compliant tactile sensors focusing on dexterous manipulation, Chapter 6 discusses the development of a complying triaxial force sensor based on piezoresistive technology. Chapter 7 deals with the constraints imposed by submicrometric precision in robotic manipulation. Chapter 8 presents the essential stages of the modeling, identification and analysis of control laws in the context of serial manipulator robots with flexible articulations. Chapter 9 provides an overview of models for deformable body manipulators. Finally, Chapter 10 presents a set of contributions that have been made with regard to the development of methodologies for identification and control of flexible manipulators based on experimental data. Contents 1. Design of Integrated Flexible Structures for Micromanipulation, Mathieu Grossard, Mehdi Boukallel, Stéphane Régnier and Nicolas Chaillet. 2. Flexible Structures’ Representation and Notable Properties in Control, Mathieu Grossard, Arnaud Hubert, Stéphane Régnier and Nicolas Chaillet. 3. Structured Energy Approach for the Modeling of Flexible Structures, Nandish R. Calchand, Arnaud Hubert, Yann Le Gorrec and Hector Ramirez Estay. 4. Open-Loop Control Approaches to Compliant Micromanipulators, Yassine Haddab, Vincent Chalvet and Micky Rakotondrabe. 5. Mechanical Flexibility and the Design of Versatile and Dexterous Grippers, Javier Martin Amezaga and Mathieu Grossard. 6. Flexible Tactile Sensors for Multidigital Dexterous In-hand Manipulation, Mehdi Boukallel, Hanna Yousef, Christelle Godin and Caroline Coutier. 7. Flexures for High-Precision Manipulation Robots, Reymond Clavel, Simon Henein and Murielle Richard. 8. Modeling and Motion Control of Serial Robots with Flexible Joints, Maria Makarov and Mathieu Grossard. 9. Dynamic Modeling of Deformable Manipulators, Frédéric Boyer and Ayman Belkhiri. 10. Robust Control of Robotic Manipulators with Structural Flexibilities, Houssem Halalchi, Loïc Cuvillon, Guillaume Mercère and Edouard Laroche. About the Authors Mathieu Grossard, CEA LIST, Gif-sur-Yvette, France. Nicolas Chaillet, FEMTO-ST, Besançon, France. Stéphane Régnier, ISIR, UPMC, Paris, France.

Bio-inspired Tactile Sensing

Bio-inspired Tactile Sensing PDF Author: Moritz Scharf
Publisher: BoD – Books on Demand
ISBN: 3863602374
Category : Technology & Engineering
Languages : en
Pages : 190

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Book Description
The transfers of natural mechanisms and structures into artificial, technical applications are successful approaches for innovation and become more important nowadays. The concept of Biomechatronics provides a structured framework to do so. Following these ideas, this work analyses a novel tactile sensor inspired by natural vibrissae. The sense of touch is an indispensable part of the sensory system of living beings. In, e.g., rats, the so-called vibrissal system, including long sensory hairs around the muzzle of the animals (vibrissae), is an essential part of tactile perception. Rats can determine the location, shape, and texture of an object by touching it with their vibrissae. Transferring these abilities to an artificial sensor design, the interaction between the hair/sensor shaft and different objects are analyzed. The sensor/hair shaft fulfills different functions in terms of a preprocessing of the captured signals. Therefore, by knowing and controlling these effects, the captured signals can be optimized in a way that particular information inside the captured signals is pronounced.

Multimodal Bioinspired Artificial Skin Module for Tactile Sensing

Multimodal Bioinspired Artificial Skin Module for Tactile Sensing PDF Author: Thiago Eustaquio Alves de Oliveira
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Tactile sensors are the last frontier to robots that can handle everyday objects and interact with humans through contact. Robots are expected to recognize the properties of objects in order to handle them safely and efficiently in a variety of applications, such as health- and elder care, manufacturing, or high-risk environments. To be effective, such sensors have to sense the geometry of touched surfaces and objects, as well as any other relevant information for their tasks, such as forces, vibrations, and temperature, that allow them to safely and securely interact within an environment. Given the capability of humans to easily capture and interpret tactile data, one promising direction in order to produce enhanced robotic tactile sensors is to explore and imitate human tactile sensing capabilities. In this context, this thesis presents the design and hardware implementation issues related to the construction of a novel multimodal bio-inspired skin module for dynamic and static tactile surface characterization. Drawing inspiration from the type, functionality, and organization of cutaneous tactile elements in the human skin, the proposed solution determines the placement of two shallow sensors (a tactile array and a nine DOF magnetic, angular rate, and gravity system) and a deep pressure sensor within a flexible compliant structure, similar to the receptive field of the Pacinian mechanoreceptor. The benefit of using a compliant structure is tri-folded. First, the module has the capability of performing touch tasks on unknown surfaces, tackling the tactile inversion problem. The compliant structure guides deforming forces from its surface to the deep pressure sensor, while keeping track of the deformation of the structure using advantageously placed shallow sensors. Second, the module's compliant structure and its embedded sensor placement provide useful data to overcome the problem of estimating non-normal forces, a significant challenge for the current generation of tactile sensing technologies. This capability allows accommodating sensing modalities essential for acquiring tactile images and classifying surfaces by vibrations and accelerations. Third, the compliant structure of the module also contributes to the relaxation of orientation constraints of end-effectors or other robotic parts carrying the module to contact surfaces of unknown objects. Issues related to the module calibration, its sensing capabilities and possible real-world applications are also presented.

Development of Flexible Tactile Sensing Array Using Mems-based Technologies

Development of Flexible Tactile Sensing Array Using Mems-based Technologies PDF Author: 鄭茗元
Publisher:
ISBN:
Category :
Languages : en
Pages : 240

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Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation

Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation PDF Author: Qiang Li
Publisher: Academic Press
ISBN: 0323904173
Category : Computers
Languages : en
Pages : 374

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Book Description
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

Development of a Bio-inspired Magnetostrictive Flow and Tactile Sensor

Development of a Bio-inspired Magnetostrictive Flow and Tactile Sensor PDF Author: Michael Adam Marana
Publisher:
ISBN:
Category :
Languages : en
Pages :

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