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Towards a Standard Mixed-Signal Parallel Processing Architecture for Miniature and Microrobotics.

Brian M Sadler¹, Sebastian Hoyos²

¹Army Research Laboratory, Adelphi, MD 20783.

Journal of Research of the National Institute of Standards and Technology

|November 25, 2015

Summary

This study explores mixed-signal processing, combining analog and digital methods for advanced miniature systems. A novel sampling architecture offers scalability for future applications in robotics, networking, and control.

Keywords:

analog-to-digital conversion communications control mixed-signal architecture mixed-signal processing perception robotics sensing signal processing

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Area of Science:

Mixed-signal processing
Miniature and micro-systems technology
Robotics and control systems

Background:

Conventional analog-to-digital conversion (ADC) and digital signal processing (DSP) architectures have driven progress in micro-systems.
Advances in sensing, signal processing, communications, and control are crucial for autonomous micro-robotics.

Purpose of the Study:

To examine trends in mixed-signal processing.
To introduce a generalized sampling architecture for adaptable and reconfigurable systems.

Main Methods:

Exploration of current trends in combining analog and digital processing.
Development of a generalized sampling architecture utilizing parallel analog basis expansion.

Main Results:

The proposed architecture is scalable, adaptable, and reconfigurable.
Demonstration of suitability for diverse applications including networking, perception, cognition, and control.

Conclusions:

Mixed-signal processing is key to the future of miniature and micro-systems.
The generalized sampling architecture provides a flexible platform for advanced autonomous systems.