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Contact Information: 

Email: brockmarcinczyk138@gmail.com
Mobile Phone: (757) 818-1666

Making Robotic Motion Physically Executable

Robotics hardware, mechatronics, actuator systems, nonlinear dynamics, embedded control, and controls-informed mechanical design.

Who is Brock Marcinczyk?

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Brock Marcinczyk is a Mechanical Engineering graduate focused on robotics hardware, mechatronics, controls-informed mechanical design, nonlinear dynamics, and physically meaningful trajectory generation.

His work centers on making robotic motion physically executable. Given a desired trajectory from an optimal controller, planner, or algorithmic system, he analyzes whether the robot can physically perform that motion in terms of joint torque, actuator limits, drivetrain loading, bearing reactions, structural stress, deflection, sensing accuracy, and safety margin.

 

 

 

 

The Marcinczyk Manipulator V1 reflects this philosophy in hardware. Brock designed the manipulator in CAD, then built, wired, modeled, and tested the physical system using DC gearmotors, magnetic encoders, motor drivers, a prismatic actuator, metal gearing, PET-G printed components, and embedded control hardware. The project connects mechanical design, actuator selection, rigid-body dynamics, embedded control, fabrication, and physical testing into one integrated robotics platform.

He has also developed and tested control workflows using Euler-Lagrange dynamics, Pontryagin’s Minimum Principle, LQR, gradient-based optimization, and physics-informed trajectory generation. His IEEE ROSE 2026 research applies optimal-control methods to a custom four-degree-of-freedom manipulator, emphasizing smooth, dynamically consistent, actuator-feasible motion rather than relying on feedback alone.

As the MMV1 continues to be refined, Brock has begun early analytical and CAD concept development for the Marcinczyk Manipulator V2: a larger six-degree-of-freedom manipulator inspired in scale by the DUM-E robot arm. The MMV2 concept retains the prismatic architecture and spherical-coordinate-based analysis of the MMV1 while exploring a larger aluminum structure, expanded joint travel, higher-torque actuation, improved joint support, and additional wrist dexterity for full-scale service tasks such as reaching shelves, interacting with doors, and manipulating objects across a larger workspace.

His strongest interest is controls-informed mechanical design: using dynamics and control outputs to guide real mechanical decisions such as actuator sizing, drivetrain layout, structural stiffness, encoder placement, tolerance sensitivity, and load-path analysis. He views feedback as a stabilizing layer around well-designed physical motion, not as a substitute for mechanical understanding.

Brock is seeking roles in robotics, mechatronics, electromechanical design, actuator systems, mechanical design, and applied dynamics where he can contribute to real hardware that moves, carries load, senses accurately, and survives the physical world.

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Marcinczyk Manipulator V1: CAD model and physical prototype. The arm was designed, fabricated, wired, modeled, and tested as a custom 4-DOF robotics platform for studying actuator selection, magnetic encoder feedback, Euler-Lagrange dynamics, embedded control, and controls-informed mechanical design.

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