Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Author "Model-based Embedded and Robotic Systems"

Now showing items 1-3 of 3

  • Decision Uncertainty Minimization and Autonomous Information Gathering 

    Brian Williams; Model-based Embedded and Robotic Systems (2013-08-22)
    Over the past several decades, technologies for remote sensing and exploration have be- come increasingly powerful but continue to face limitations in the areas of information gathering and analysis. These limitations ...

  • Risk-minimizing program execution in robotic domains 

    Brian Williams; Model-based Embedded and Robotic Systems (2012-02-02)
    In this thesis, we argue that autonomous robots operating in hostile and uncertain environments can improve robustness by computing and reasoning explicitly about risk. Autonomous robots with a keen sensitivity to risk can ...

  • Robust, Goal-directed Plan Execution with Bounded Risk 

    Brian Williams; Model-based Embedded and Robotic Systems (2012-02-02)
    There is an increasing need for robust optimal plan execution for multi-agent systems in uncertain environments, while guaranteeing an acceptable probability of success. For ex- ample, a fleet of unmanned aerial vehicles ...