Given the risk posed by escalating climate conditions, there is a need to assess how localities integrate adaptive planning into hazard mitigation and this enabled or constrained existing institutions. We explore for flood in Lower Rio Grande Valley of Texas, United States – largely underresourced highly socioeconomically vulnerable area. Using Natural Language Processing analyze county regiona...

A methodology is presented in this work for intelligent motion planning in an uncertain environment using a non-local sensor, such as a radar. This methodology is applied to an unmanned helicopter navigating a cluttered urban environment. It is shown that the problem of motion planning in an uncertain environment, under certain assumptions, can be posed as the adaptive optimal control of an unc...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment non-locally. Examples would include a mobile robot exploring an unknown terrain or a micro-UAV navigating in a cluttered urban environment. We show that the problem of path planning in an uncertain environment, under c...

Most of the inventory control models assume that quality defect never happens, which means production process is perfect. However, in real manufacturing processes, the production process starts its operation in the in-control state; but after a period of time, shifts to the out-of-control state because of occurrence of some disturbances. In this paper, in order to approach the model to real man...

This paper proposes a genetic algorithm (GA) for path planning of an autonomous mobile robot in the 3-D space which is modeled with a grid structure. We present a GA for 2-D path planning and then generalize it to 3-D path planning. Some simulation results are also presented. The GA has two unique features. First, the dimension has only small e ect on time and space requirements. Second, it is ...

Decisions rarely occur in isolation, and decision makers must often respond to dynamic and unexpected events. A decision-maker must consider not only its own possible actions but also the possible behaviors and the resources of others who may either assist with planning and execution, accidentally interfere, or maliciously interfere. Dynamic Adaptive Autonomy (DAA) is the fundamental technology...