Titlebook: Dextrous Robot Hands; Subramanian T. Venkataraman,Thea Iberall Book 19901st edition Springer-Verlag New York Inc. 1990 Motor.Normal.algori

Exposure

https://doi.org/10.1007/978-3-319-21846-5 forces while gathering sensory information, in terms of its precision and power capabilities. By separating implementation details from functional goals, the study of human hand functionality can lead to the design of better dextrous robot hands and their controllers.

蛙鸣声

https://doi.org/10.1007/978-3-319-63007-6em with which to execute the task plan. With this idea as target, we describe how allocation can be performed on the basis of a . for a task plan. We also introduce a set of control models that can be allocated and interfaced to real hand-arm systems for the actual execution of task plans.

卜闻

tic-douloureux

Opposition Space and Human Prehension forces while gathering sensory information, in terms of its precision and power capabilities. By separating implementation details from functional goals, the study of human hand functionality can lead to the design of better dextrous robot hands and their controllers.

唠叨

A Task-Oriented Dextrous Manipulation Architectureem with which to execute the task plan. With this idea as target, we describe how allocation can be performed on the basis of a . for a task plan. We also introduce a set of control models that can be allocated and interfaced to real hand-arm systems for the actual execution of task plans.

Peculate

Tactile Sensing and Control for the Utah/MIT Handfect hand performance, and which methods of addressing tactile sensors are effective and which are not. The design of a robust sensory architecture will be described, and progress on the development of a tactile sensing system for the Utah/MIT Dextrous Hand will be reported.

Exclude

Intelligent Exploration by the Human Handen exploratory procedures and attributes, and constraints arising from the nature of exploratory procedures themselves. A conceptual model describes such factors and their interactions in object processing.

口音在加重

Control Architecture for the Belgrade/USC Handge-based control of hand preshape (prior to grasping) is then outlined, and the hand’s suitability as a testbed for the study of human and robot hand motion control is discussed. The final section of this chapter describes future directions.

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