Martin Kazemi

• Designed (DFM) the next generation of weeding robot for fast weeding and with about 40% less weight compared to the previous gen., for the commercialization phase. • Oversaw the R&D of the autonomous fast weeding robots. Increased the weeding speed by about 500% through changing the platform from a stationary weeding system to a moving platform by generating real-time optimized path planning for mobile robotic platforms and Delta arms. • Integrated CAN-based sensors using Beckhoff PLC and implemented safety measures for sequence control. • Collaborate with vision engineers to reduce calibration and robot positioning error. Coordinating the fusion of vision and other sensory data in real time and integrating code using containerization using Docker and ROS. • Supervision of +8 interns in testing, development, and maintenance of robotic platforms.

• Led a robot calibration method, reducing metrology time and costs by fewer measurements needed (max. 8 instead of dozens) using an arm-mounted laser profiler sensor (Article ). • Created robotic cell CAD in SolidWorks & RoboDK to automate pre-programming with Python. Commissioned and calibrated the cell with <0.7mm deviation from CAD at the key points measured by laser trackers. • Implemented automated data acquisition integrating 3D vision and robot controller; managed data flow via Ethernet/IP, stored and queried in SQL, and post-processed results in MATLAB to extract actionable insights. • Successfully tested and validated a +60% increase in positioning accuracy across multiple platforms (UR, KUKA).

• Designed and prototyped an autonomous end-of-arm robotic tool for aerospace drilling, integrating electric and pneumatic actuators and sensors, increasing collaborative robots' static payload by 5x (Patent pending). • Created an efficient, robust function block control diagram and an interface in MATLAB Simulink running on embedded controllers to manage, monitor, and troubleshoot over 15 actuators/sensors in real time. • Developed a 3D vision-based motion control and inspection system using OpenCV in Python; integrated hand-eye calibration for accurate localization, achieving sub-millimetre precision in robotic applications. • Experimentally validated performance metrics using CMM and Siemens SCADAS for vibration and process force acquisition; achieved <0.2 mm positioning and <0.5° normality errors, meeting aerospace drilling standards. • Met project budgets and timelines by managing procurement of +12 purchases by requesting information and quotations (RFI/RFQ). Provided technical drawings and documentation to streamline production and assembly. • Presented the project to clients (Bombardier Mirabel and Airbus Atlantic), embarking on further collaborations.

Graduate Research Assistant at the Intelligent Digital Manufacturing Laboratory (IDMLab)

Teaching Assistant for MECH 3430-Measurements and Control

• Designed compact actuators and electronics enclosures for exoskeleton robots (Patent). Reduced product weight by 40% after 3 iterations of prototyping and optimizing structural stiffness using FEA. • Simulated the Human-Robot interaction in MATLAB Simulink (SimScape) for PID controller development and tuning (Article). Used Simulink PLC Coder, generating structured text for PLC. • Designed and provided detailed technical drawings respecting ISO GD&T for machining, sheet metal, laser cutting, welding, and 3D printing and followed up (by phone/in person) with the manufacturers and suppliers. • Improved product quality and ergonomics by analyzing over 25 physiotherapy sessions, identifying the roots of the problems, and providing responsive technical support, leading to 3+ years of reliable hospital use.

Research subjects: • Designed and fabricated a passive ankle joint, making FUM-Exoskeleton more compatible for patients. • Developed a vision-based pick and place control system for Delta robot using OpenCV & ROS.

Teaching Assistant, mentored over 90 students in the following courses: - Design of Machine Elements - Material Science - Introduction to Programming - Numerical Analysis

Part of the reverse engineering team, worked as a mechanical designer for the Metro company of Mashhad city to design new types of instruments for train safty. Supervisors: Prof. Masoud Tahani and Prof. Mahmoud Shariati

Interned at Composite Research Lab, specializing in hands-on work with carbon fiber materials. Contributed to projects involving manufacturing and testing processes. Excited to apply this experience to future challenges with composite materials.