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| Creator | Title | Description | Subject | Date | ||
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Bull, Auguest John | Robotic Grasp Control Using Tactile Feedback | As we move towards more autonomous robots, object interaction and manipulation remains difficult for robots. Grasping approaches vary from learning-based to traditional control means, each with their own challenges. Learning-based methods perform well on specific tasks, but struggle to move to other... | 2020 | |
| 2 |
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Robe, John William | The Design and Implementation of Autonomous Robotic Systems | This research focuses on the development of an autonomous robotic system using Robot Operating System (ROS), with the purpose of competing in the NASA Robotic Mining Competition in collaboration with the Utah Robotic Mining Project team. While completing this research, the following discoveries were... | 2017 | |
| 3 |
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Kapetanovic, Stefan | Non-Anthropomorhic Deep Learning: Developing the "Eyes for the Internet of Things" | Deep Learning (DL) and Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by this, we implemented a system that can accurately predict handwritten numbers from a raw CMOS machine image. Current forms of deep learning do... | 2017 |
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