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BookDOI

Dextrous robot hands

TLDR
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.
Abstract
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.

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Journal ArticleDOI

Review Article Tactile sensing for mechatronics—a state of the art survey

TL;DR: A comprehensive search of the literature revealed that there was a significant increase in publications on tactile sensing from 1991 onwards as discussed by the authors and that the predominant choice of transduction method is piezoelectric, with arrays using resistive or capacitive sensing.
Journal ArticleDOI

Tactile sensing and control of robotic manipulation

TL;DR: The current state of the art and predicts the outlook in robotic tactile sensing for real-time control of dextrous manipulation are reviewed and future directions for research in sensing and control are considered.
Journal ArticleDOI

Dextrous hand grasping force optimization

TL;DR: The task of grasping force optimization is formulated as an optimization problem on the smooth manifold of linearly constrained positive definite matrices for which there are known globally exponentially convergent solutions via gradient flows.
Journal ArticleDOI

Simulation and design of underactuated mechanical hands

TL;DR: In this paper, the design of underactuated mechanical hands is addressed and a robust mechanical hand capable of performing industrial tasks involving the grasping of a wide variety of objects with large forces is presented.
Journal ArticleDOI

A portable dextrous master with force feedback

TL;DR: A prototype master providing force feedback for the Dataglove is discussed, and a control model is given based on finger parameters and joint coupling, taking into account the influence of the feedback structure.