A specialised multidisciplinary field of engineering that deals with the design, manufacture, operation, usage and troubleshooting of robots and robotic systems is called robotic engineering. It requires a synergistic understanding of concepts from mechanical and electrical engineering as well as computer sciences. Robots are programmed machines that have the ability to perform tasks autonomously or on command via sensory feedback mechanisms and information processing. Applications of robotic systems are prevalent in the fields of manufacturing, medical sciences, transport and defence to name a few. These courses include training in pneumatics and hydraulics, numerically controlled systems, CAD/CAM, microprocessors and integrated systems. It can be pursued at a Bachelor’s level or as a Master’s speciality following a degree in Mechatronics engineering.
Those students inclined towards pursuing a career in robotics must have a thorough knowledge of the fundamentals of physics, chemistry and mathematics. In addition to a strong theoretical knowledge of the above subjects, a background in design or programming and a research oriented mindset would be helpful. An innate ability to think in an analytical manner, sound observational skills and the potential to pay great attention to detail while tackling potential problems and offering practical solutions in return would serve a candidate well in the field.
Roboticist: The conceptualisation, designing, creation and programming of robots can be owed to a roboticist. The application of robotic technologies is employed for tasks that humans find too dangerous or are unable to complete. With a successful robotic counterpart to complete the task at hand, a roboticist makes it an easier and increasingly efficient process.
Computer Vision Engineer: The ability to obtain, analyse and process digital images to automate functions, replicating something similar to what human vision is able to do. In this profession, one has to develop image analysis algorithms and deep learning architectures allowing for a successful image processing and visualisation.
Automation Engineer: The field of automation entails designing, programming, simulation and testing of automated machinery in pursuit of completion of a task. Automation engineers are most commonly employed in food processing or car manufacturing industries where robotics assists in functioning.
Project Engineer: If a trained robotics engineer is inclined towards the management field, the role of a project engineer leading a team of roboticists would suit them perfectly.
Medical Robotics Engineer: Biorobotics is one of the latest and most successful aspects of robotics which shows great promise in the near future. Biorobotic technologies are utilised to address a deficiency in various stages of disease right from diagnosis to complex surgical intervention. Biorobotic engineers ease the minds of medical practitioners by minimising human errors.
Machine/ Deep Learning Engineer: With a thorough understanding of deep learning platforms related to artificial intelligence, a deep learning engineer develops design plans and systems to determine the integration of machines and programs.
Navigation Engineer: A variant of an aerospace engineer, navigation engineers understand and devise the guidance, navigation and control systems that power aircrafts and other flying objects like missiles and space shuttles.
AI Expert: This job description may require a preceding certification in Artificial Intelligence.