Now showing items 1-4 of 4

    • A Novel Continuum Manipulator 

      Cochrane, Eric C (2015-09-21)
      We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
    • Building a Better Machine Learning Hardware Accelerator with HARP 

      Sacco, Jacob
      As machine learning is applied to ever more ambitious tasks, higher performance is required to be able to train and evaluate neural nets in reasonable amounts of time. To this end, many hardware accelerators for machine ...
    • Influence of Vehicle Make on Accuracy of Real-time Road Anomaly Identification 

      Saulnier, Michael Taylor
      As road infrastructure in the United States is aging, road anomalies such as cracks, potholes, and other abnormalities are becoming much more prevalent. Currently there is no real-time understanding of the conditions of ...
    • Real-Time Classification of Road Conditions 

      Weaver, Scott M (2015-09-03)
      Common navigation algorithms like A* or D* Lite rely on costs to determine an optimal path. Costs may incorporate distance, time, or energy consumption; however, they can include anything that affects travel along a path. ...