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AI-driven robot car
University of Toronto
Date
2023 Jan-2024 April
Objectives:
- Automatic localization
- Automated object searching and handling
I led the design and development of an AI-driven robotic car capable of autonomous navigation, mapping, and object retrieval in a maze environment. The project aimed to create a fully self-sufficient mobile robot that could localize itself, identify surrounding obstacles, and retrieve a designated object without human intervention. The resulting system successfully performed self-localization and environment mapping, enabled remote operation without reliance on cameras or human vision, and incorporated embedded obstacle avoidance and object-locating algorithms. The robotic platform demonstrated reliable autonomous navigation and object pickup, showcasing integrated sensing, control, and AI-driven decision-making capabilities.
Top collaborators: Fangren Xu, Mingguang Yang, Yuchen Liu
