JOURNAL ARTICLE

A Tactile Sensing System for Robotic Manipulation

Thomas H. Speeter

Year: 1990 Journal:   The International Journal of Robotics Research Vol: 9 (6)Pages: 25-36   Publisher: SAGE Publishing

Abstract

A tactile sensing system (TSS) for articulated robotic hands is described. The system is composed of flexible touch sensing arrays, access electronics, and algorithms for data sampling and processing. The TSS is meant to exist in a multiprocess ing control environment and is designed to keep low-level procedures such as sensor addressing and data access off of the control system's shared bus. Up to 16 arrays of 256 taxels each can be accessed in parallel with achieved sampling rates of more than 60 Hz. The resolution of the sensors can be dynamically modified by a simple switching technique. This allows very fast sampling rates at low resolution while retain ing the ability to sample with high precision at lower rates. Variance of the resolution changes only the number of taxels and the size of their receptive fields but does not affect the coverage of the array. As part of the discussion about TSS, a generic class of resistive touch sensors is described. These sensors are inex pensive, flexible, and easy to build. Methods for efficient sampling, variable resolution, and shear force detection are introduced, and implementation issues for use with the Utah/ MIT Dextrous Hand are discussed.

Keywords:
Computer science Sampling (signal processing) Tactile sensor Resistive touchscreen Resolution (logic) Computer hardware Robotic hand Sample (material) Artificial intelligence High resolution Real-time computing Computer vision Robot Remote sensing

Metrics

78
Cited By
8.72
FWCI (Field Weighted Citation Impact)
26
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering

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