Projects
Research and Development (R&D) in software development, robot motion control, safe movement, vision systems, simulation, and commissioning in Houston, TX, USA.
Research and Development (R&D) in software development, robotic motion control, vision systems, simulation, and commissioning on an offshore drilling rig in Norway.
Design and integration of an advanced vision system for a drilling rig's motion control robotic platform. The system was developed to track the precise position of objects in real-time, enabling enhanced automation and precision in drilling operations.
This project combined innovative robotics and computer vision technologies, culminating in a patented solution in the United States.
Testing and contributing to development of the ROS 2 interface for Yaskawa manipulators, enabling seamless integration and creating example applications to showcase its capabilities. This project leveraged advanced motion planning techniques and real-time robotics frameworks.
Development and testing of the next generation robot controller, powered by the Nvidia Jetson platform. The project enhanced introduced AI-driven optimizations to improve robotic performance.
Research and development of motion control software for the IRB5500 Paint Robot. This included integration with ABB RobotWare and RobotStudio, precise motion trimming, and stress testing to meet high-performance industrial standards.
Researched and developed the SafeMove2 functionality for ABB robots, optimizing motion control to ensure robots could stop precisely on a planned trajectory within stringent time constraints. This project prioritized safety and performance in dynamic environments.
Conducted advanced research and development for a robotic motion control system to support the Continuous Motion Rig (CMR), equipped with ABB robot controllers and drives. This project focused on achieving continuous and seamless motion in high-performance drilling process.
Responsibilities included software development, integration with ABB RobotStudio, and rigorous testing and commissioning of the system. The project emphasized achieving optimal synchronization and coordination of robotic movements, enhancing both efficiency and reliability in industrial workflows.
Software development of a real-time path planner running on a GPU, designed for high-performance robotic applications. The project involved interfacing with robot controllers to enable seamless integration and efficient trajectory execution.
Research and development of a hybrid electrical power system for marine vessels. This project focused on integrating traditional propulsion systems with modern electric drives to enhance efficiency and reduce emissions.
Concept research and development of an advanced electrical drive system to transfer energy generated by subsea tidal mills to the power grid. The project aimed to harness renewable energy effectively from tidal water systems.
During my tenure in the ship industry, I contributed to multiple projects spanning ferry construction, ship conversions, and maintenance operations. These projects encompassed a wide range of responsibilities, including the design and implementation of electrical power generation systems, electrical and automation systems, navigation, and communication technologies.
Key tasks involved programming PLCs and LabVIEW, commissioning systems, troubleshooting, and conducting offshore trials to ensure operational reliability. My work also included hands-on involvement in system testing, optimization, and integration to meet stringent maritime standards and enhance vessel performance.
This project focused on designing and implementing a new subsea control system with advanced optical communication technology to extend the operational life of the Tordis-VIGDIS oil fields. I was involved in multiple facets of the project, including equipment design, system architecture development, offshore commissioning, troubleshooting, and overall project management.
Conducted research on a novel real-time control algorithm for a nonlinear robotic system (three-wheeled mobile platform). The project aimed to address challenges in energy-efficient motion control and advanced system dynamics.
The proposed control algorithm was implemented using advanced mechatronic design techniques, including virtual prototyping, Hardware-in-the-Loop Simulation (HILS), and rapid prototyping directly on a custom-built robot system. The robot, a three-wheeled mobile platform, was specifically designed and constructed for research purposes.
Experimental validation demonstrated the superior performance of the proposed motion control algorithm. Tests confirmed the feasibility of optimizing the energy efficiency of the three-wheeled mobile platform by employing mechatronic integration techniques and applying corrective velocity adjustments.
This research highlights that energy optimization in surveillance systems using mobile platforms can be achieved through strategic mechatronics integration, advancing the field of motion control and energy-aware robotics.
