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We are researching machine learning algorithms that would
enable automatic controller design for modular robots and other
distributed robotic systems. The ultimate goal is to create a control
architecture that would achieve fast online adaptation in a completely
distributed fashion. |
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We are developing distributed control laws for networked teams of robots that self-organize in response to the sensed environment. Such control laws would enable teams of robots to carry out group tasks, such as maintaining a formation or monitoring an environment, in a distributed fashion. |
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We propose a swarm programming language that provides
abstractions for global program flow control, dynamic task assignment, shared variable creation and scoping, and code modularization. A language composed of these components will allow the developer to build high-level swarm programs by specifying a global, hierarchical, finite-state machine. |
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Research sponsored by Boeing