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Filtering by: Creator Garcia, Jonathan Remove constraint Creator: Garcia, Jonathan Committee Member Balasubramanian, Ravi Remove constraint Committee Member: Balasubramanian, Ravi

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  • Dynamics and control for spring-mass legged robots

    Creator:
    Vejdani Noghreiyan, Hamid Reza
    Abstract:
    The objective of this study is to propose control strategies for legged robots to walk and run naturally like humans and animals. To achieve this goal, we use the spring-mass model for the legged robots to be able to create the same dynamics in the leg as humans and animals....
    Resource Type:
    Dissertation
    Full Text:
    Control for Spring-Mass Legged Robots Abstract approved: Jonathan W. Hurst The objective of this

  • Force and impulse control for spring-mass running

    Creator:
    Koepl, Devin N.
    Abstract:
    We present a novel control strategy for running which is robust to disturbances, and makes excellent use of passive dynamics for energy economy. The motivation for our control strategy is based on observations of animals, which are able to economically walk and run over varying terrain and ground dynamics. It...
    Resource Type:
    Masters Thesis
    Full Text:
    Impulse Control for Spring-Mass Running Abstract approved: Jonathan W. Hurst We present a novel control

  • Mechanical Design for Robot Locomotion

    Creator:
    Abate, Andrew M.
    Abstract:
    Robotic limbs have been shown to enable mobility in unstructured, real-world terrain; they allow robots to step around cluttered environments, scramble up hills, carry heavy loads, and even perform acrobatics. However, mechanical limbs cannot operate as a means for such dynamic locomotion if they are simply treated as general articulated...
    Resource Type:
    Dissertation
    Full Text:
    April 11, 2018. Title: Mechanical Design for Robot Locomotion. Abstract approved: Jonathan W. Hurst

  • Near-contact Grasping Strategies: Improve Robotic Grasping from Awkward Poses with Deliberate Finger Motion

    Creator:
    Ong, Yi Herng
    Abstract:
    As robots are becoming more relevant to our lives, they are still having hard time accomplishing simple tasks such as picking and lifting. Problems that include environmental constraints, pose uncertainties and hardware noises restrain robots for grasping an object successfully from a perceivable environment. Many have looked into finding best...
    Resource Type:
    Masters Thesis