L2M – Augmented Reality-Enhanced Precision Robotic Manipulator Simulation and Training System

The global manufacturing sector is shifting towards high-mix, low-volume (HMLV) production. While large corporations can invest in advanced automation, Canada’s small and medium-sized enterprises (SMEs) face a significant “adoption chasm.” This gap is driven by prohibitive upfront capital costs for robotic systems, a critical lack of in-house programming and maintenance expertise, and the financial risk of investing in technology without a clear return on investment (ROI).

To bridge this chasm, this project proposes the development of an Augmented Reality-Enhanced Precision Robotic Manipulator Simulation and Training System. This innovative platform will function as a low-cost, low-risk “strategic sandbox” for SMEs to embrace Industry 4.0. Leveraging the Unity 3D engine and Microsoft HoloLens 2, the system will provide a high-fidelity digital twin environment where companies can virtually design, prototype, and validate robotic automation processes before committing significant capital.

The system directly dismantles key adoption barriers by enabling clear ROI analysis and mitigating investment risk. It addresses the skills gap with an intuitive, simulation-based training module to rapidly upskill the existing workforce. Furthermore, it enhances operational agility by allowing for the rapid virtual reprogramming of robotic tasks for custom orders and replacing inefficient paper-based workflows with real-time, in-situ digital work instructions.

Faculty Supervisor:

Qingjin Peng

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: