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    Decomposition of Collaborative Surveillance Tasks for Execution in Marine Environments by a Team of Unmanned Surface Vehicles 

    Source: Journal of Mechanisms and Robotics:;2018:;volume( 010 ):;issue: 002:;page 25007
    Author(s): Shriyam, Shaurya; Shah, Brual C.; Gupta, Satyandra K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper introduces an approach for decomposing exploration tasks among multiple unmanned surface vehicles (USVs) in congested regions. In order to ensure effective distribution of the workload, the algorithm has to ...
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    Image-Based Surface Defect Detection Using Deep Learning: A Review 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 004:;page 040801-1
    Author(s): Bhatt, Prahar M.; Malhan, Rishi K.; Rajendran, Pradeep; Shah, Brual C.; Thakar, Shantanu; Yoon, Yeo Jung; Gupta, Satyandra K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Automatically detecting surface defects from images is an essential capability in manufacturing applications. Traditional image processing techniques are useful in solving a specific class of problems. However, these ...
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    Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 005:;page 50906-1
    Author(s): Al-Hussaini, Sarah; Dhanaraj, Neel; Gregory, Jason M.; Jomy Joseph, Rex; Thakar, Shantanu; Shah, Brual C.; Marvel, Jeremy A.; Gupta, Satyandra K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present a framework for identifying, communicating, and addressing risk in shared-autonomy mobile manipulator applications. This framework is centered on the capacity of the mobile manipulator to sense its environment, ...
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