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Dinmukhamet Murat
Junior Robotics Engineer specializing in industrial automation and 3D perception
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About
Robotics software engineer at Quant Robotics focused on perception for automated welding/assembly cells, working with LMI Co-Cutter 3D sensors and point-cloud registration. Previously implemented ROS 2 Humble navigation on a Clearpath Jackal by rewriting the NAV2 local controller with a constrained NMPC approach, optimizing for low-latency behavior via C++ and GPU offload. Hands-on with industrial ABB robots (IRB 6700/2600), multi-frame calibration, simulation in Gazebo/RViz, and Docker-based deployment/testing workflows.
Experience
Education
Key Strengths
- Perception and metrology-focused robotics work with sub-millimeter accuracy requirements
- Designed and implemented an automatic scanner calibration method to reduce ~1.0–1.2 mm placement deviation
- Deep ROS 2 navigation stack experience (rewrote NAV2 local controller using NMPC with constraints)
- Performance optimization for real-time robotics (C++ optimization, image downscaling, GPU offload to reduce latency)
- Pragmatic motion-planning latency reduction by tuning planning horizon and adding safety-zone constraints
- Experience aligning/calibrating coordinate frames across multiple industrial robots to maintain synchronized positioning
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