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Skip to Search Results- 66Robotics
- 37Artificial intelligence
- 35Rehabilitation
- 33Assistive Technology
- 9Machine learning
- 3Computer Vision
- 10Kim Adams
- 7ALBERT M. COOK
- 4Pedro Encarnação
- 3Noonari, Juned (Supervisor)
- 2Adams, Kim
- 2Barker, Thomas (Supervisor)
- 48Graduate and Postdoctoral Studies (GPS), Faculty of
- 48Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 35Rehabilitation Medicine, Faculty of
- 29Rehabilitation Medicine, Faculty of/General Rehabilitation Medicine
- 6Rehabilitation Medicine, Faculty of/Speech Pathology and Audiology
- 4Master of Science in Internetworking (MINT)
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Fall 2015
Simultaneous localization and mapping (SLAM) in an unknown environment is a prerequisite to have a truly autonomous mobile robot. In this thesis, we focus on appearance-based visual SLAM, for which we develop a graph-based nearest-neighbor search algorithm to speed up bag-of-words (BoW) image...
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Evaluation and development of Artificial Intelligence tools to assess COVID-19 Severe Acute4 Respiratory Syndrome from chest imaging
Download2021-09-01
Chest CT is being more widely used as a diagnostic test for COVID-19 Severe Acute Respiratory Syndrome-related lung disease. Artificial intelligence (AI) has the ability to assist in the rapid assessment of CT scans for COVID-19 Severe Acute Respiratory Syndrome findings from other clinical...
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Spring 2015
Sampling from a given probability distribution is a key problem in many different disciplines. Markov chain Monte Carlo (MCMC) algorithms approach this problem by constructing a random walk governed by a specially constructed transition probability distribution. As the random walk progresses, the...
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Fall 2016
Real-time strategy (RTS) video games are known for being one of the most complex and strategic games for humans to play. With a unique combination of strategic thinking and dexterous mouse movements, RTS games make for a very intense and exciting game-play experience. In recent years the games AI...
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Highway Lane change under uncertainty with Deep Reinforcement Learning based motion planner
DownloadSpring 2020
Motion Planning is a fundamental component of a mobile robot to reach its goal safely avoiding collision. For a self-driving car on a highway, the presence of non-communicating vehicles, specially those whose intent is unknown, creates a lot of uncertainty for the motion planner in generating a...
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2022-01-24
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
The majority of competency and performance modeling methods available in the literature are deterministic conceptual, statistical,and/or regression models that cannot capture the subjective uncertainty, complex, and nonlinear relationships inherent in construction, whichmakes accurate prediction...
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Improving a User's Haptic Perceptual Sensitivity by Optimizing Effective Manipulability of a Redundant User Interface
Download2022-11-03
Teng Li, Ali Torabi, Hongjun Xing, Mahdi Tavakoli
ABSTRACT: Human perceptual sensitivity of various types of forces, e.g., stiffness and friction, is important for surgeons during robotic surgeries such as needle insertion and palpation. However, force feedback from robot end-effector is usually a combination of desired and undesired force...
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Spring 2019
Disabling events such as stroke affect millions of people worldwide, causing a need for efficient and functional rehabilitation therapies in order for patients to regain motor function for reintegration back into their normal lives. Rehabilitation regimes often involve performing exercises that...