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Publication
Journal Articles
Awards/Patents
Awards/Patents
Academic & Industrial Awards/Patents/Sofware
Research
Current Research Work
Project: Development of control and sensing algorithms for autonomous operations of an excavator, PI(2018- Present), Sponsored by UOIT Startup Fund and UOIT VPRII Research Infrastructure Fund
Development of position, optimal contour, and force controls for autonomous ground tasks
Project: Integrated Technical Solutions for Urban Construction Using Autonomous Excavators, PI (2020/04-2025/03) Sponsored by NSERC Discovery Grant and NSERC Discovery Launch Supplement
Development of advanced algorithms for tracking control and adaptive safety control
Development of advanced sensing algorithms for excavated ground detection
Project: Development of an AI learning platform for intelligent excavators based on expert work data, PI (2023/4 - 2026/12), Sponsored by Evaluation Institute of Industrial Technology (KEIT) Industrial Technology Innovation Program.
- Development of 3D global/local mapping and 2D grid mapping algorithms
- Development of material-type classification algorithms
Project: Advancement of dust filtering algorithms, PI (2023/4 - 2023/10), Sponsored by KIMM (Korea Institute of Machinery and Materials) contract project.
Development of advanced sensor fusion-based dust filtering algorithms using a Lidar and a camera.
Project: Energy Efficient Controlled Environment Agriculture Facility (EE-CEAF), Collaborator (2023/7 - 2024/12), Sponsored by Programs of the Weston Family Foundation.
Design and development of an autonomous mobile robot for optimal ripeness detection and damageless harvesting of strawberries
Project: Development of algorithms for real-time scheduling and optimal path generation for autonomously operating platforms, PI (2023/4 - 2023/12), Sponsored by KITECH (Korea Institute of Industrial Technology) International Joint R&D project.
Real-time scheduling (online updates of operational paths) based on demand and conditions of autonomous sweeping vehicles.
E.g., The remaining autonomous sweeping vehicles take over the pre-planned routes from a break-down vehicle.
Project: Development of simulation technologies for redundant braking systems, PI (2022/10 - 2023/10), Sponsored by Hyundai Motor Company contract project
- Simulation modeling of core components for redundant braking systems
- Integration of control models using virtual CAN in the Matlab/Simulink environment
- Identify key braking parameters and their relationships
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