Queens RoboMaster

www.queensrobomaster.ca

Queen's Robomaster is a student run robotics team at Queen's University focusing on developing mechanical, electrical, computer software, and machine learning skills through the design and implementation of seven robots. The team intends to compete at the 2019 International Robomaster Competition and the 2019 International Conference on Robotics and Automation (ICRA). The mechanical structures are built by customized Carbon Fiber and CNC machined parts and the design includes independent suspension systems and climb mechanisms. The control systems consist of high-end hardware such as STM32 and NVIDIA TX2 with feedback control system programming including PID control. The robots are also powered with AI, Machine Learning based TensorFlow, and Linux that are capable of facial detection and trajectory prediction.

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Queen's Robomaster is a student run robotics team at Queen's University focusing on developing mechanical, electrical, computer software, and machine learning skills through the design and implementation of seven robots. The team intends to compete at the 2019 International Robomaster Competition and the 2019 International Conference on Robotics and Automation (ICRA). The mechanical structures are built by customized Carbon Fiber and CNC machined parts and the design includes independent suspension systems and climb mechanisms. The control systems consist of high-end hardware such as STM32 and NVIDIA TX2 with feedback control system programming including PID control. The robots are also powered with AI, Machine Learning based TensorFlow, and Linux that are capable of facial detection and trajectory prediction.

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Country

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City (Headquarters)

Kingston

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Employees

11-50

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Founded

2018

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Social

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  • Queen'S Robomaster Design Team Co - Captain

    Email ****** @****.com
    Phone (***) ****-****

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