This requires an advanced physical and software infrastructure that systematically replaces manual laboratory operations with reliable, repeatable automated systems. * Integration and programming of robotic manipulators (e.g. UR, Franka, or similar collaborative arms) and motion systems (e.g., gantries) in real operational environments * Sensor integration and closed-loop feedback control, including force/torque sensing, vision systems, and real-time error detection * Robot Operating System (ROS/ROS2): motion planning, hardware abstraction, and custom driver development * Simulation environments for robot development and workflow validation (e.g., Gazebo, Isaac Sim, MuJoCo), including sim-to-real transfer * Collaboration with cross-functional teams to translate complex requirements into reliable, reproducible automated systems * Strong understanding of control systems, kinematics, and mechatronic design principles
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