Papers Published

  1. Garg, D.P. and Prabhu, S.M., A system-theoretic approach to autonomous decision making via intelligent multi-sensor fusion architecture, Proceedings of the IASTED International Conference Robotics and Manufacturing (2001), pp. 200 - 5 .
    (last updated on 2007/04/10)

    Abstract:
    This paper proposes an innovative and unconventional multi-sensor fusion architecture, with applications to a variety of scientific and engineering systems that acquire, process, and integrate information gathered from multiple knowledge sources, and use this information for critical decision making. The proposed architecture results in a critical enabler for autonomous operation of such systems, primarily due to its two significant attributes. First, the “fused” information contains information that cannot be obtained otherwise from each individual sensor acting alone, and thereby enable the system to perceive or measure its physical environment more accurately. Second, the proposed architecture can fuse the information from multiple sensors in a self-organizing, adaptive fashion, which allows it to modify or control its own operation, while interacting with its environment. The proposed architecture can be gainfully employed in unstructured and uncertain environments

    Keywords:
    adaptive systems;learning (artificial intelligence);sensor fusion;