• Control Algorithms: Develop and implement control algorithms, such as PID, Model
  Predictive Control (MPC), Linear Quadratic Regulator (LQR), Sliding Mode Control (SMC),
  Computer Torque Control (CTC), and adaptive control.
• ROS1/ROS2 Expertise: Utilize ROS (Robot Operating System) for the development, integration, and control of robotic systems. Strong knowledge of ROS middleware, including ROS Navigation, and ROS Control.
• MATLAB Proficiency: Leverage MATLAB for modeling, simulation, and control algorithm
  development. Proficiency in Simulink for model-based design.
• Simulation Software: Use simulation software (e.g., Gazebo, V-REP) to simulate and validate control systems and robotic arm behavior.
• Robotic Arm Control System Development: Design and development of advanced robotic arms, incorporating state-of-the-art motion control algorithms for precision and speed.
• Motor and Driver Expertise: Possess a deep understanding of motors and motor drivers used in robotic systems, including PID tuning.
• Electronic Components: Work with a wide range of electronic components to interface with and control robotic systems.
• Real-time Systems: Experience in real-time control systems and real-time operating systems (RTOS).
• Proven expertise in C++ and Python programming languages

• Machine Vision: Familiarity with computer vision techniques and libraries (e.g., OpenCV) for object recognition and vision-based control.
• Hardware Integration: Proficiency in hardware integration, including sensors, actuators, and communication protocols (e.g., CAN, Ethernet).
• Safety Standards: Knowledge of safety standards and protocols relevant to robotics and

• Proficiency in ROS, MATLAB, and simulation software for robotic applications.
• In-depth knowledge of motors, motor drivers, and electronic components used in robotics.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• automation

Graduate degree in Robotics or Electrical and Electronics Engineering or Electronics and Communication Engineering or Relative field

Minimum of 4 years of hands-on experience in control system engineering, with a strong
focus on robotic arm development.