Physical Intelligence Enabled By Soft Robotic Systems


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Physical Intelligence Enabled by Soft Robotic Systems


Physical Intelligence Enabled by Soft Robotic Systems

Author: Jose Antonio Barreiros Flores

language: en

Publisher:

Release Date: 2021


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Soft robotics is of special interest in the study of physical intelligence, aka. the intelligence that predominantly comes from the physical body and its morphology, due to the compliance of the materials and mechanisms. Soft systems have been demonstrated for complex motion, human-like sensing capabilities, morphing, self-healing, adaptation, and growth; which are abilities highly desirable in intelligent agents to endure the demanding working conditions of the real world. This dissertation explores the use of soft robotic systems as platforms to encode intelligent behavior in the body of the robot, and it presents examples of soft robotic system modules that could facilitate perception, controls and actuation in embodied AI agents, thus composing a better embodiment for them. In an advance for robotic haptic perception systems that could allow an agent to understand its embodiment and its interactions with the environment, I present 1) a self sensing membrane that estimate its deformation state based on capacitive readings and supervised learning models; 2) a stretchable optical fiber that maps bending, stretching and location of pressing into intensity and color of light; and 3) an optoelectronic robotic flesh that is scalable to cover the whole body of a robot and encodes deformation, temperature and damage stimuli into light. In an effort to facilitate controls and complex actuation in robots through means of physical intelligence, I present 1) a tendon driven actuator in which the actuation trajectory is programmed by the placement and number of tendons inside its body; and 2) a fluidic hyperelastic textile actuator that can inflate in complex 3D shapes by locally programming the mechanical properties of its membrane using digital embroidery. The challenges of artificial physical intelligence in soft robots, including fabrication, design, and simulation; and demonstrations of the system modules in real world applications are discussed in each chapter.

Robotic Systems and Autonomous Platforms


Robotic Systems and Autonomous Platforms

Author: Shawn M. Walsh

language: en

Publisher: Woodhead Publishing

Release Date: 2018-10-11


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Robotic Systems and Autonomous Platforms: Advances in Materials and Manufacturing showcases new materials and manufacturing methodologies for the enhancement of robotic and autonomous systems. Initial chapters explore how autonomous systems can enable new uses for materials, including innovations on different length scales, from nano, to macro and large systems. The means by which autonomous systems can enable new uses for manufacturing are also addressed, highlighting innovations in 3D additive manufacturing, printing of materials, novel synthesis of multifunctional materials, and robotic cooperation. Concluding themes deliver highly novel applications from the international academic, industrial and government sectors. This book will provide readers with a complete review of the cutting-edge advances in materials and manufacturing methodologies that could enhance the capabilities of robotic and autonomous systems. - Presents comprehensive coverage of materials and manufacturing technologies, as well as sections on related technology, such as sensing, communications, autonomy/control and actuation - Explores potential applications demonstrated by a selection of case-studies - Contains contributions from leading experts in the field

Handbook on Soft Robotics


Handbook on Soft Robotics

Author: Thrishantha Nanayakkara

language: en

Publisher: Springer Nature

Release Date: 2024-12-02


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This book explains how to design and control a soft robot in understandable language. In addition, it provides a comprehensive coverage of the essential theory and techniques used in soft robotics that can be used by graduate students in soft robotics. The book covers several key areas in soft robots, ranging from design and fabrication to modelling and control. It also includes many case studies and examples. The book clearly explains mathematical concepts and uses illustrative explanation to help engineers and junior graduate students understand the physical meaning of the key concepts and approaches in soft robotics. Reading this book gives professional engineers and students a sound knowledge of soft robotics that they can take to their careers and research.