Role:

This position is responsible for developing and optimizing control strategies for robotic automation systems and actuation applications. The role involves designing and implementing real-time control algorithms for pick-and-place and pick-and-assemble applications, integrating sensors and actuators, and ensuring system stability and precision for industrial robotic applications.

What To Expect

• Design and develop advanced control systems for robotic manipulators used in pick-and-place and assembly applications.
• Select, integrate, and calibrate various sensors, controllers, and actuators for effective robotic manipulation.
• Design sensor-driven feedback control loops, integrating force/torque sensors and vision systems for adaptive control.
• Tune and optimize control systems for fast, smooth, and precise operations.
• Develop fault detection and error recovery mechanisms to enhance the robustness of pick-and-place performance.
• Study and implement pick-and-place and pick-and-assemble control strategies and algorithms.
• Conduct robot teaching and robotic manipulator simulations for new applications and deployments.
• Program robots using industrial robot programming (e.g., Yaskawa, ABB, KUKA) or general-purpose such as C/C#/C++, Python.
• Document technical reports, program codes, and setup manuals.

What You'll Bring

• A Master's or Ph.D. degree in Electrical, Mechanical, or Computer Engineering or a relevant discipline, with more than five years of industry experience.
• Good understanding of robot kinematics, dynamics, and control theories (e.g., PID, Model Predictive Control, Impedance Control).
• Proven ability to develop and deploy custom pick-and-place or pick-and-assemble applications.
• Hands-on experience with industrial robot arm controllers, sensor integration, and workcell setup.
• Experience using commercial pre-integrated solutions (e.g., Siemens SRP, ABB RobotStudio, Denso VPS).
• Ability to program microcontrollers and design basic electrical circuitry.
• Proficiency in programming industrial robots using manufacturer-specific platform or C/C#/C++, Python for control algorithm development.
• Experience with robot calibration techniques and sensor integration (e.g., vision, force/torque).
• Familiarity with ROS 1/2, Linux OS, and other real-time control frameworks or software tools.
• Any patents, publications, specialist certifications, or awards in robotics and automation are good to have.