What Is Robotics and Automation?

Robotics and automation is a field of engineering and applied science concerned with the design, construction, programming, and deployment of machines that perform tasks with reduced or eliminated human intervention. Robotics focuses on the physical machines themselves, including their mechanical structure, sensing systems, and control algorithms, while automation encompasses the broader set of technologies and techniques used to make processes self-regulating and self-executing. Together, they address the substitution of human physical and cognitive labor by machine systems capable of perception, decision-making, and action.

The field traces its modern form to the post-World War II period, when George Devol and Joseph Engelberger developed the Unimate industrial robot arm, installed at a General Motors plant in 1961. Since then, advances in computation, sensing, materials, and machine learning have expanded the scope of what robotic and automated systems can accomplish, moving from rigid, preprogrammed operations in controlled environments to flexible systems that adapt to variable and unstructured settings.

Industrial Automation

Industrial automation applies control systems, including programmable logic controllers (PLCs), distributed control systems (DCS), and robotic manipulators, to manufacturing and process industries to achieve consistent, repeatable production at speeds and precision levels that exceed human manual capability. Factory automation typically involves fixed, high-speed robots performing welding, stamping, painting, or assembly operations within safety-fenced cells. Process automation, prominent in chemical, petroleum, and food processing plants, uses sensor networks and feedback controllers to regulate continuous flows of material and energy. The ISA (International Society of Automation) maintains the ISA-95 and ISA-88 standards that define how automation systems are architecturally organized in manufacturing enterprises.

Collaborative Robots

Collaborative robots (cobots) are robotic systems designed to operate alongside human workers in shared workspaces without the physical separation required by traditional industrial robots. They achieve safe co-existence through combinations of force-torque sensing, power and force limiting, speed and separation monitoring, and inherently compliant mechanical designs. The ISO/TS 15066 standard specifies the biomechanical limits that collaborative robot contacts must not exceed. Cobots have lowered the capital and integration barriers for robotic automation in small and medium-sized enterprises, where task variety and low production volumes previously made full automation impractical. Research on cobot interaction published through IEEE Robotics and Automation Letters covers sensing, control, and human factors in collaborative operation.

Service Robots and Mobile Robots

Service robots perform useful tasks for humans or equipment outside traditional industrial manufacturing environments. They include domestic robots (vacuum cleaners, lawn mowers), professional service robots (surgical systems, inspection drones, hospital delivery robots), and personal assistive robots. Mobile robots navigate through their environment using a combination of localization, mapping, and path planning techniques. Ground-based mobile robots range from guided vehicles following fixed infrastructure to fully autonomous platforms that build and update maps in real time using simultaneous localization and mapping (SLAM) algorithms. Aerial robots (unmanned aerial vehicles) extend mobility into three dimensions, with multirotor platforms dominant for short-range applications and fixed-wing or hybrid designs for long-endurance missions. The IEEE Robotics and Automation Society is the primary professional organization covering both service and mobile robot research communities.

Autonomy and Sensing

Autonomy in robotics refers to the degree to which a system can perform its mission without human involvement, from tele-operation (full human control) through supervised autonomy to full independence. Sensing is the technical foundation for autonomy: a robot must perceive its environment through cameras, LiDAR, radar, IMUs, force-torque sensors, or proprioceptive joint encoders before it can plan and act. Sensor fusion algorithms combine information from multiple modalities to produce estimates of state that are more robust than any single sensor can provide. Machine learning, and particularly deep neural networks trained on large labeled datasets, has substantially expanded the range of perceptual tasks that robots can perform reliably in unstructured conditions.

Applications

Robotics and automation has applications in a wide range of fields, including:

• Automotive and electronics manufacturing for high-volume precision assembly
• Surgery and medical procedures, including robot-assisted laparoscopy
• Agriculture, including autonomous harvesting, seeding, and crop inspection
• Logistics, warehouse order fulfillment, and last-mile delivery
• Inspection of hazardous or inaccessible infrastructure, including pipelines and bridges
• Defense and public safety, including bomb disposal and search-and-rescue operations