First Principles IASlearning from first principles

Robotics and automation

Syllabus
Awareness in the fields of IT, computers, robotics; developments in science and technology and their applications and effects in everyday life
As of
October 2026
  • robot
  • sensor
  • actuator
  • feedback control
  • degrees of freedom
  • industrial robot
  • collaborative robot
  • service robot
  • autonomous vehicle
  • levels of driving automation
  • robot density
  • Moravec's paradox
  • automation and jobs
  • reskilling
  • National Strategy on Robotics

The first principle

A robot is a machine that senses its surroundings, decides what to do and then acts on the physical world, and it repeats this loop many times a second. Everything in robotics follows from that sense, decide and act loop: better sensors let a robot see more, better computing and artificial intelligence (AI) let it decide in messier settings, and better motors and materials let it act with more strength or delicacy. Automation is the wider idea of a task done without a human at each step, and a robot is automation that moves.

The core

The parts of a robot

  • Sensors tell the robot where it is and what is around it. Cameras, light detection and ranging (LiDAR), ultrasonic and infrared sensors, force and touch sensors, and encoders that measure how far each joint has turned all feed data to the controller.
  • The controller decides. A computer compares what the sensors report with what the task requires and works out the commands that close the gap, which is called feedback control; a thermostat does the same thing in its simplest form.
  • Actuators act. Electric motors, hydraulic cylinders and pneumatic pistons move the joints, and the tool at the end of the arm, called the end effector, may be a gripper, a welding torch or a surgical instrument.
  • Degrees of freedom measure how freely a robot can move. Each independent joint adds one, and an arm needs six degrees of freedom to place its tool at any position and in any orientation within its reach, which is why most industrial arms have six joints.
  • Power and structure complete the machine, and the weight of batteries is still the main limit on how long a mobile or humanoid robot can work.
Feedback loop of a robot: sensors sense, the controller decides, actuators act, and the world changes and is sensed againSense, decide, act: the robot loopSensecameras, LiDAR, touch and force sensors,joint encodersDecidecontroller compares what is sensed withthe goal and computes commands; AI helpsin messy settingsActmotors, hydraulics, pneumatics movejoints; end effector grips, welds or cutsThe world changesthe object moves, the arm reaches a newpositionThe loop repeats many times a second; the righthand arrow is the feedback that corrects eacherror.
Figure: The feedback loop at the heart of every robot, with examples of the sensors, controller and actuators at each stage.

Kinds of robots

  • Industrial robots are fixed arms that weld, paint, assemble and pack in factories, working fast and accurately behind safety fences; the car industry has always been their largest user.
  • Collaborative robots, or cobots, are smaller arms with force sensors that stop on contact, so they can work beside people without fences, which suits small firms and short production runs.
  • Service robots work outside factories: warehouse carts, cleaning machines, surgical systems that steady and scale down a surgeon's hand movements, and robots for disposing of bombs or entering sewers and nuclear plants.
  • Autonomous vehicles are robots on wheels. SAE International's standard J3016 sets six levels of driving automation, from Level 0, with no automation, to Level 5, where the vehicle drives itself everywhere; up to Level 2 the human must watch the road all the time, while from Level 3 the system drives in set conditions.
  • Humanoids and legged robots copy the human or animal body so they can work in spaces built for people, and they are now a major area of research because AI models can help them learn tasks from demonstration.

Why some tasks are easy for robots and others hard

  • Moravec's paradox observes that what is hard for humans, such as exact calculation, is easy for machines, while what a child does without thought, such as picking up an unfamiliar object or walking on rough ground, is very hard for them. This is why robots first took over repetitive tasks in controlled factories and still struggle in homes, farms and construction sites.

Dimensions

  • Economic. Robots raise output per worker, improve quality and let a country stay competitive as wages rise, which is why robot use tracks manufacturing ambition.
  • Employment. Automation replaces tasks rather than whole jobs, removing routine work while creating demand for technicians, programmers and maintenance staff; the 2013 Oxford study by Frey and Osborne estimated that about 47 per cent of jobs in the United States were at high risk of automation, while later studies that looked at tasks within jobs found lower figures.
  • Social and ethical. Robots can take people out of dangerous and degrading work, such as sewer cleaning and bomb disposal, but questions of liability arise when an autonomous machine causes harm.
  • Strategic. Unmanned ground vehicles, robotic mine clearing and drones are changing warfare; the drones and warfare technology note covers these.
  • Demographic. Countries with ageing workforces, such as Japan, South Korea and Germany, automate fastest, while India's large young workforce changes the calculation but does not remove the need to compete.
Bar chart of industrial robots installed in 2024 in China, Japan, United States, South Korea, Germany and IndiaIndustrial robots installed, 2024 (thousand)China295Japan44.5United States34.2South Korea30.6Germany27India9.1World total about 542 thousand. Source:International Federation of Robotics, WorldRobotics 2025.
Figure: Industrial robots installed in 2024 by the six largest markets, with China alone accounting for more than half of the world total. Source: International Federation of Robotics, World Robotics 2025.

In practice

  • India's robot market is small but growing. India installed a record of about 9,100 industrial robots in 2024, ranking sixth in the world, and its operational stock reached about 52,570 robots, according to the International Federation of Robotics (IFR). The automotive industry took about 45 per cent of these installations, while the world installed about 5.42 lakh robots, of which China installed about 2.95 lakh.
  • Draft National Strategy on Robotics. The Ministry of Electronics and Information Technology (MeitY) released a draft strategy for public comment in 2023, naming manufacturing, healthcare, agriculture and national security as priority sectors and proposing standards, testing, regulatory sandboxes and skilling, with the aim of making India a leader in robotics by 2030.
  • Robots against manual scavenging. The Prohibition of Employment as Manual Scavengers and their Rehabilitation Act, 2013 bans hazardous cleaning of sewers and septic tanks without protective gear, and robotic sewer cleaners such as Bandicoot, developed by the Kerala start up Genrobotics, have been adopted by several cities to replace people entering manholes.
  • Defence and space. The Defence Research and Development Organisation's Daksh is a remotely operated robot for handling and disposing of explosives, and the Indian Space Research Organisation (ISRO) built Vyommitra, a half humanoid robot, to fly on the uncrewed test flights of Gaganyaan.
  • Driverless cars. India has no legal framework for fully driverless vehicles on public roads, and the Union Transport Minister said in 2017 that the government would not allow driverless cars that take away drivers' jobs; driver assistance features up to Level 2 are, however, now sold in Indian cars.
The six SAE levels of driving automation from Level 0 to Level 5, showing who is responsible for watching the roadLevels of driving automationhuman watcheshuman on callsystem0No automationwarnings only; human drives1Driver assistancesteering or speed help, one at a time2Partial automationsteering and speed together; human mustwatch all the time3Conditional automationsystem drives in set conditions; humantakes over when asked4High automationno human needed within a defined area,such as a city zone5Full automationdrives itself anywhere a human couldSource: SAE International, J3016. Cars sold inIndia offer up to Level 2.
Figure: The six levels of driving automation set by SAE International, showing where responsibility moves from the driver to the system.

Issues and way forward

  • Jobs and skills. Low skill routine jobs in assembly and packing are most exposed, so skilling in robot operation and maintenance through industrial training institutes and apprenticeship schemes must come before large scale automation, not after.
  • Dependence on imports. India imports most industrial robots and their key parts, such as precision gears, servo motors and controllers; production incentives for components and research through the national missions on cyber physical systems and AI can build a domestic base.
  • Cost for small firms. Micro, small and medium enterprises cannot afford traditional robots, so cheaper cobots, leasing and shared automation centres in industrial clusters are the practical routes.
  • Safety and liability. When an autonomous vehicle or surgical robot causes harm, it is unclear whether the maker, the programmer or the user is responsible, so standards, certification and a clear liability law are needed before wider use.
  • Ethics of military robots. Weapons that select and attack targets without human control have been debated since 2017 by a Group of Governmental Experts under the United Nations Convention on Certain Conventional Weapons, which an Indian diplomat chaired in its first two years, and the shared ground so far is that humans must remain responsible for the use of force.
Two by two matrix of tasks by whether they are routine or not and physical or mental, showing where automation comes firstWhich tasks automate firstPhysical tasksMental tasksRoutine, physicalweldingpaintingpackingrobots already hereRoutine, mentaldata entrybillingsimple claimssoftware automates itNon routine, physicalplumbingfarm pickinghome carehardest for robotsNon routine, mentaldiagnosisdesignteachingAI assists, peopleleadGold: tasks automated first. Grey: physical tasksin messy settings, still hard (Moravec's paradox).
Figure: Tasks placed by how routine they are and whether they are physical or mental, showing where automation arrives first.

Common confusions

  • Robotics and AI. AI is software that makes decisions from data, while robotics is the engineering of machines that act physically; a chatbot is AI without a body, and a factory arm following fixed instructions is a robot without much AI.
  • Automation and autonomy. An automated machine repeats a set sequence, while an autonomous one chooses its actions according to what it senses, as a self driving car must.
  • Industrial robots and cobots. Industrial robots work fast and alone behind fences, while cobots work slower beside people and stop on contact.
  • Level 2 and Level 3 automation. At Level 2 the human driver must watch the road even when the car steers and brakes, while at Level 3 the system drives in set conditions and the human need only take over when asked.
  • Remotely operated and autonomous. A bomb disposal robot like Daksh is usually steered by an operator, while an autonomous robot decides for itself.

For the exam

  • Keyword bank: sense, decide and act loop, feedback control, actuator, end effector, degrees of freedom, collaborative robot, service robot, levels of driving automation, Moravec's paradox, robot density, task based automation, reskilling, liability, meaningful human control.
  • Previous year questions: Practise the previous year questions on this topic →
  • Use in an answer:
    • Introduction with data: India installed a record of about 9,100 industrial robots in 2024 and ranked sixth in the world, yet China installed about 2.95 lakh in the same year (IFR, World Robotics 2025).
    • Introduction with a source: The Draft National Strategy on Robotics of 2023 named manufacturing, healthcare, agriculture and national security as the sectors where India should lead in robotics by 2030.
    • Conclusion: Robots should take over the dull, dirty and dangerous work first, with skilling planned ahead, so that automation raises productivity without leaving workers behind.
    • Conclusion: India's young workforce is a reason to automate with care, not a reason to avoid it, because competitiveness in manufacturing will increasingly depend on people and robots working together.