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    Theoretical Dynamic Modeling and Validation of Braided Pneumatic Artificial Muscles 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2020:;volume( 142 ):;issue: 003:;page 031008-1
    Author(s): Slightam, Jonathon E.; Nagurka, Mark L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The high force-to-weight ratios of braided fluidic artificial muscles (AMs) are ideal for human scale and mobile robot applications. Prior modeling efforts focus on the theoretical static characteristics or empirical dynamic ...
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    Theoretical Control-Centric Modeling for Precision Model-Based Sliding Mode Control of a Hydraulic Artificial Muscle Actuator 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 005:;page 051010-1
    Author(s): Slightam, Jonathon E.; Nagurka, Mark L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Artificial muscles (AMs) traditionally rely on pneumatic sources of fluid power. The use of hydraulics can increase the power and force to weight and volume ratios of AM actuators. This paper develops a control-centric ...
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    An Approach to Realize Generalized Optimal Motion Primitives Using Physics Informed Neural Networks1 

    Source: ASME Letters in Dynamic Systems and Control:;2024:;volume( 005 ):;issue: 002:;page 21001-1
    Author(s): Slightam, Jonathon E.; Steyer, Andrew J.; Beaver, Logan E.; Young, Carol C.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Autonomous manipulation is a challenging problem in field robotics due to uncertainty in object properties, constraints, and coupling phenomenon with robot control systems. Humans learn motion primitives over time to ...
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