Queen’s Knights Robotics Team (QKRT)We are a close-knit, interdisciplinary group of students dedicated to developing advanced robots for the North American RoboMaster competition. Our team provides an inclusive environment that enables students to collaborate and explore the latest technologies at the forefront of robotics. We are devoted to supporting each member, empowering them with both technical and interpersonal skills to excel in their future pursuits. Learn more at qkrt.ca.We are currently looking for Technical Team Members to join our 2025-26 team! You will be placed on one of the sub-teams listed below based on your interests.Requirements:<ul><li>Applicants should have an interest in the design, fabrication, and programming of robots.</li><li>Expected time commitment of 4 hours per week.</li><li>An eagerness to learn and develop technical skills.</li><li>Experience with programming and CAD will be considered an asset, but is not mandatory.</li></ul>Mechanical DesignResponsibilities:<ul><li>3D modelling of all our competition robots</li><li>Decision-making for how our robots will function</li><li>Procurement and selection of mechanical parts</li></ul>Members will gain experience in:<ul><li>Design and Manufacturing</li><li>CAD Design and Modelling</li><li>The Iterative Design Process</li></ul>Computer VisionResponsibilities:<ul><li>Developing an Object Detection Algorithm</li><li>Researching Machine Learning Methods</li><li>Integrating the algorithm with the Auto Aim team</li></ul>Members will gain experience in:<ul><li>Programming in C++ and/or Python</li><li>Artificial Intelligence Models</li><li>Data Collection and Training</li></ul>Auto Aim Responsibilities:<ul><li>Controlling the motion of the turret</li><li>Programming autonomous controls for an aim and fire system</li><li>Integrating Auto Aim with computer vision co-processing outputs</li></ul>Members will gain experience in:<ul><li>Programming in C++</li><li>PID Controls</li><li>Perception and Projectile Motion</li></ul>Auto NavResponsibilities:<ul><li>Implement autonomous navigation and path planning</li><li>Integrate ROS2 packages for perception and localization</li><li>Test and validate robots' autonomous driving capabilities</li></ul>Members will gain experience in:<ul><li>Programming using ROS2</li><li>Localization Algorithms</li><li>Navigation and Path Planning</li></ul>ControlsResponsibilities:<ul><li>Developing robotic control systems </li><li>Implementing omnidirectional navigation and gimbal control</li><li>Embedded development with sensors and actuators</li></ul>Members will gain experience in:<ul><li>Programming in C++</li><li>Microcontrollers and Actuation</li><li>Embedded Systems</li></ul>Electrical TeamResponsibilities:<ul><li>Designing safe and easy-to-use power and signal connections.</li><li>Development and testing of a Supercapacitor Module. (analogous to a rechargeable nitro boost for a car)</li><li>Designing and implementing safety systems for higher-power circuits.</li></ul>Members will gain experience in:<ul><li>Circuit analysis and design with power electronics.</li><li>PCB design using CAD.</li><li>Circuit simulation software.</li><li>Microcontroller programming and the UART data protocol.</li></ul>Robot AcademyResponsibilities:<ul><li>Acquire the foundational knowledge in anticipation of actively participating in the following semester/year.</li><li>Learn about the competition, the robots, and the parts of the robot.</li><li>Complete mini projects to consolidate skills learnt.</li><li>Ask lots of questions.</li></ul>Members will gain experience in:<ul><li>Programming in C++ </li><li>CAD Design and Modelling</li><li>Using microcontrollers</li><li>The engineering design process</li></ul>If you have any questions regarding the application or interview process, please contact us at qkrt @ engsoc.queensu.ca.Deadline to apply: September 17, 2025 at 11:59 pm

Queen&rsquo;s University has a long history of scholarship, discovery, and innovation that shapes our collective knowledge and helps address some of the world&rsquo;s most pressing challenges. Home to more than 25,000 students, Queen&rsquo;s offers a comprehensive research-intensive environment. Diverse perspectives and a wealth of experience enrich our students and faculty while a core part of our mission is to engage in international learning and research. Queen&rsquo;s University is ranked in the top 10 globally in the 2022 Times Higher Education Impact Rankings. The rankings measured over 1,500 post-secondary institutions on their work to advance the United Nations&rsquo; Sustainable Development Goals (SDGs).

QKRT - Technical Team Member

Queen’s Knights Robotics Team (QKRT)We are a close-knit, interdisciplinary group of students dedicated to developing advanced robots for the North American RoboMaster competition. Our team provides an inclusive environment that enables students to collaborate and explore the latest technologies at the forefront of robotics. We are devoted to supporting each member, empowering them with both technical and interpersonal skills to excel in their future pursuits. Learn more at qkrt.ca.We are currently looking for Technical Team Members to join our 2025-26 team! You will be placed on one of the sub-teams listed below based on your interests.Requirements:<ul><li>Applicants should have an interest in the design, fabrication, and programming of robots.</li><li>Expected time commitment of 4 hours per week.</li><li>An eagerness to learn and develop technical skills.</li><li>Experience with programming and CAD will be considered an asset, but is not mandatory.</li></ul>Mechanical DesignResponsibilities:<ul><li>3D modelling of all our competition robots</li><li>Decision-making for how our robots will function</li><li>Procurement and selection of mechanical parts</li></ul>Members will gain experience in:<ul><li>Design and Manufacturing</li><li>CAD Design and Modelling</li><li>The Iterative Design Process</li></ul>Computer VisionResponsibilities:<ul><li>Developing an Object Detection Algorithm</li><li>Researching Machine Learning Methods</li><li>Integrating the algorithm with the Auto Aim team</li></ul>Members will gain experience in:<ul><li>Programming in C++ and/or Python</li><li>Artificial Intelligence Models</li><li>Data Collection and Training</li></ul>Auto Aim Responsibilities:<ul><li>Controlling the motion of the turret</li><li>Programming autonomous controls for an aim and fire system</li><li>Integrating Auto Aim with computer vision co-processing outputs</li></ul>Members will gain experience in:<ul><li>Programming in C++</li><li>PID Controls</li><li>Perception and Projectile Motion</li></ul>Auto NavResponsibilities:<ul><li>Implement autonomous navigation and path planning</li><li>Integrate ROS2 packages for perception and localization</li><li>Test and validate robots' autonomous driving capabilities</li></ul>Members will gain experience in:<ul><li>Programming using ROS2</li><li>Localization Algorithms</li><li>Navigation and Path Planning</li></ul>ControlsResponsibilities:<ul><li>Developing robotic control systems&nbsp;</li><li>Implementing omnidirectional navigation and gimbal control</li><li>Embedded development with sensors and actuators</li></ul>Members will gain experience in:<ul><li>Programming in C++</li><li>Microcontrollers and Actuation</li><li>Embedded Systems</li></ul>Electrical TeamResponsibilities:<ul><li>Designing safe and easy-to-use power and signal connections.</li><li>Development and testing of a Supercapacitor Module. (analogous to a rechargeable nitro boost for a car)</li><li>Designing and implementing safety systems for higher-power circuits.</li></ul>Members will gain experience in:<ul><li>Circuit analysis and design with power electronics.</li><li>PCB design using CAD.</li><li>Circuit simulation software.</li><li>Microcontroller programming and the UART data protocol.</li></ul>Robot AcademyResponsibilities:<ul><li>Acquire the foundational knowledge in anticipation of actively participating in the following semester/year.</li><li>Learn about the competition, the robots, and the parts of the robot.</li><li>Complete mini projects to consolidate skills learnt.</li><li>Ask lots of questions.</li></ul>Members will gain experience in:<ul><li>Programming in C++&nbsp;</li><li>CAD Design and Modelling</li><li>Using microcontrollers</li><li>The engineering design process</li></ul>If you have any questions regarding the application or interview process, please contact us at qkrt @ engsoc.queensu.ca.Deadline to apply: September 17, 2025 at 11:59 pm

QKRT - Technical Team Member

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