Home | Members | Research | Facilities | Publications | Software | News | Contact



Research Areas

A few glimpses of the wide spectrum of research conducted at the center.


Smart Sensor Tech

Smart Sensing Technologies

Some of our faculty are among the world renowned experts in Smart Sensing Technologies. Our sensing systems, VISNAV and STARNAV have seen successful flight demonstrations and have earned reputation for precision, design and cost effectiveness.

More >>


Flower Constellation - Lone Star Constellation

Spacecraft Constellations and Formations

Our expertise includes design, modeling, analysis and simulation of spacecraft formations and constellations. More >>



Flow Control

Distributed Flow Control

Flow control problems with emphasis on modeling, simulation, experimental validations and flight testing also form core areas of our research.
Mature flow control control technologies include:

  • Synthetic Jet Actuation Systems
  • Actuation via reconfiguration : Morphing Wing

    Multiresolution Modeling

    Multiresolution Modeling and Approximation

    Multiresolution approaches to model nonlinear dynamical systems not amenable to physics based are being pursued. Synthetic jet actuation is a classical example we had much success.

    More >>


    cooperative control

    Cooperative Control of Multiple Agents

    We are developing decentralized algorithms for cooperative control problems and provide certificates for robust operations in the presence of uncertainty. Some of the research activities include, problems related to resource allocation, motion planning, GPS less navigation, formation flying & swarms, dynamic sensing and multi-agent consensus over dynamic networks.

    More >>




    Test Beds

    The center is the focal point for unique research in autonomous vehicles, leading to novel designs and implementations of autonomous air and ground vehicles. Our faculty conduct a host of UAV flight testing programs and mobile robotics research for a variety of AFRL, NASA, and private corporations. More>>


    Uncertainty Analysis - Propagation Through Dynamical Systems

    Uncertainty Propagation through Dynamical Systems

    A key objective of our recent research is to understand the influence of uncertainty on the behavior of nonlinear dynamic systems with stochastic excitation and uncertain initial conditions. Finding the contribution of model or initial condition uncertainty to the system output would enable the design of more robust and effective systems. More >>



    Near Earth Asteroids : Study and Mission Analysis




    Decision Making over Communication Networks

    The unpredictability of network traffic can cause the arrival time of signals can only be characterized by probability distribution. The main focus of this research will be to understand how the shape and parameters of the signal delay distribution influences stability of networked control systems (e.g. formations of intercommunicating vehicles) More>>


    Robust Real-Time Computations

    Robust Real-Time Computations

    Mobile agents, such as unmanned aerospace vehicles, are real-time systems that are designed for environments in which the utility of actions is strongly time-dependent. In such applications, the utility of the decisions degrade with the time spent on computation. Anytime algorithms represent a class of algorithms that incrementally improve quality of solution with available computational time.More>>


    Human Machine Interface


    Human Machine Interface

    New methods and systems are needed to represent and guide human behavior and performance in military tactical scenarios with semi-autonomous vehicles.  A variable-autonomy, human-machine interface system for monitoring and intervention of UAV teams would be based upon the concept of blending the division of authority and complexity level between human and UAV    More>>



    Intelligent Software Agents

    Intelligent Software Agents

    The Smart Cockpit Decision Support Aid, and it can operate in either a fully autonomous mode, or a semi-autonomous mode. The system objective is to increase flight safety and reduce human related mistakes during the enroute flight phase, by aiding operator decision-making.  The heart of the Smart Operator Decision Support Aid is an intelligent agent based hierarchical system, composed of lower-level intelligent weather and traffic agents which recommend weather and traffic conflict free flight paths respectively, and a higher-level intelligent executive agent that recommends conflict free flight paths in situations of co-existing weather and traffic conflicts.  More>>




    © Aerospace Engineering, Texas A&M University