This project seeks to enable a robot to operate as an indoor office assistant, finding and moving objects from/to specific locations. The robot will reason with incomplete knowledge about the domain to construct plans for specific goals. During plan execution, the robot will use sensor inputs (primarily vision and speech) to acquire probabilistic information that will be used to revise the existing knowledge and complete the desired tasks. The algorithms will be implemented and evaluated on mobile robot platforms in the Newmarket campus.
Undergraduate
Expected project outcomes:
1. Formal description of algorithms and software developed to achieve the stated objectives.
2. Software implementation and results of experimental evaluation on robots.
3. A paper describing the algorithms, software and experimental results.
Prerequisites:
1. Proficiency in object-oriented programming.
2. Proficiency in probability, statistics, calculus and linear algebra.
3. Interest in (and/or passion for) robotics and AI.
Some knowledge in artificial intelligence, machine learning and/or robotics will be useful but not essential.
Lab allocations have not been finalised