Difference between revisions of "Backtracking temporal logic synthesis for uncertain environments"

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{{HTDB paper
 
{{HTDB paper
| authors = Scott Livingston, Richard M. Murray and Joel W. Burdick
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| authors = Scott C. Livingston, Richard M. Murray and Joel W. Burdick
 
| title = Backtracking temporal logic synthesis for uncertain environments
 
| title = Backtracking temporal logic synthesis for uncertain environments
 
| source = 2012 International Conference on Robotics and Automation (ICRA), submitted
 
| source = 2012 International Conference on Robotics and Automation (ICRA), submitted

Latest revision as of 16:51, 6 June 2016


Scott C. Livingston, Richard M. Murray and Joel W. Burdick
2012 International Conference on Robotics and Automation (ICRA), submitted

This paper considers the problem of synthesizing correct-by-construction robotic controllers in environments with uncertain but fixed structure. “Environment” has two notions in this work: a map or “world” in which some controlled agent must operate and navigate (i.e. evolve in a configuration space with obstacles); and an adversarial player that selects con- tinuous and discrete variables to try to make the agent fail (as in a game). Both the robot and the environment are subjected to behavioral specifications expressed as an assume-guarantee linear temporal logic (LTL) formula. We then consider how to efficiently modify the synthesized controller when the robot encounters unexpected changes in its environment. The crucial insight is that a portion of this problem takes place in a metric space, which provides a notion of nearness. Thus if a nominal plan fails, we need not resynthesize it entirely, but instead can “patch” it locally. We present an algorithm for doing this, prove soundness, and demonstrate it on an example gridworld.