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computer vision, medical screening, and model/parameter learning from vast amounts of data.Systems Biology and other engineering disciplines that aim to design complex behaviors on a molecular level are currently plagued by noise and component uncertainty.The goal of this ongoing project is to bring the algorithmic tools that are so successful when implemented on computers to the molecular realm.
I have built and worked with several robotic test-beds to develop, refine, and test these control strategies.
Machine learning is revolutionizing a number of scientific and engineering disciplines by efficiently extracting information from noisy and uncertain data, e.g.
Their approaches seems to focus on self-organization, managing noise created by many interacting components, and using distributed reactive behaviors as feedback to adapt their strategies.
Can we build systems with similarly robust behavior?
This project aims to create algorithms and hardware that can reliably build structures in unstructured terrain. mound building termites, are really good at this type of construction.
Their skill depends on the tightly coupled interaction of construction strategy and construction material.
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[mp4] (4.1 mb) The Factory Floor Testbed is an experiment to explore scalable, robust, multi robot construction hardware and algorithms.
It consists of modular robots that can build arbitrary lattice structures from two types of raw materials.