Search
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)
-
Collective decision-making in decentralized multiple-robot systems: a biologically inspired approach to making up all of your minds
DownloadFall 2009
Decision-making is an important operation for any autonomous system. Robots in particular must observe their environment and compute appropriate responses. For solitary robots and centralized multiple-robot systems, decision-making is a relatively straightforward operation, since only a single...
-
Data-Driven Approaches to Estimate the Impact and Presence of Shale Barriers in SAGD Reservoirs
DownloadSpring 2019
Steam-assisted gravity drainage (SAGD) is one of the most successful in-situ techniques and has been widely adopted for heavy oil and bitumen recovery. Steam chamber development and SAGD production performance are highly sensitive to the reservoir heterogeneity, thus characterizing shale...
-
Decision Frequency Adaptation in Reinforcement Learning Using Continuous Options with Open-Loop Policies
DownloadFall 2023
In classic reinforcement learning(RL) for continuous control, agents make decisions at discrete and fixed time intervals. The duration between decisions becomes a crucial hyperparameter. Setting it too short may increase the problem’s difficulty by requiring the agent to make numerous decisions...
-
Fall 2018
The adoption of powered myoelectric prostheses and their ability to improve quality of life for persons with amputations is hindered by the difficulty of controlling multiple degrees of freedom with a limited number of input signals. Different myoelectric control strategies have been developed to...
-
Fall 2015
Understanding how an artificial agent may represent, acquire, update, and use large amounts of knowledge has long been an important research challenge in artificial intelligence. The quantity of knowledge, or knowing a lot, may be nicely thought of as making and updat- ing many predictions about...
-
Fall 2011
Employing disturbance observers is an effective way of enhancing the stability and performance of the control systems subject to disturbances. Disturbance observers have been extensively used for control of mechatronic systems since their introduction in the 1980s. This thesis studies the...