Autonomous mobile robots typically require a preconceived and very detailed navigational model (map) of their intended operating environment, but most law enforcement and urban warfare response scenarios preclude the availability of such a priori information. ROBART III is an advanced demonstration platform for non-lethal robotic response measures, incorporating a supervised autonomous navigation system specifically configured to support minimally attended operation in previously unexplored interior structures. A 'human-centered mapping' strategy has been developed to ensure valid first-time interpretation of navigational landmarks as the robot builds its world model. The accuracy of the robot's real-time position estimation (and hence the model itself) is significantly enhanced by an innovative algorithm which exploits a heuristic that assumes the majority of man-made structures are characterized by parallel and orthogonal walls. Intruder detection and assessment capabilities are supported by intelligent fusion of data collected by a multitude of various sensors. Initial detection is by a 360-degree array of eight passive-infrared motion detectors responding to the thermal energy gradient created by a moving human target, with partial validation from a Doppler microwave motion detector. The robot's head-mounted sensors (and non-lethal weapon system) are then panned to the center of any perceived disturbance for further assessment. Automatic tracking of any confirmed movement is accomplished through conventional image processing using a black-and-white video surveillance camera equipped with a near-infrared illuminator for low-light conditions.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Supervised Autonomous Security Response Robot


    Contributors:

    Publication date :

    1999


    Size :

    18 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation

    Lookingbill, A. / Rogers, J. / Lieb, D. et al. | British Library Online Contents | 2007




    AUTONOMOUS VEHICLE SUPERVISED STOPS

    GERRESE ALEXANDER WILLEM / MIRDHA AAKANKSHA / SAMS ASHLEY et al. | European Patent Office | 2023

    Free access