Robotics

1. Meaning, scope and classification

Robotics is the science and engineering of designing, constructing, programming and operating robots. A robot is broadly a programmed, actuated mechanism that performs physical tasks with some degree of autonomy. Its defining feature is interaction with the physical environment, rather than human-like appearance. Factory manipulators, warehouse mobile robots, underwater vehicles and planetary rovers illustrate its diversity. The boundaries between robots, automated machines and remotely operated equipment depend partly on the technical classification used.

Industrial robots commonly manipulate parts, tools or materials through programmable movements. Typical configurations include articulated arms, Cartesian robots and selective compliance assembly robot arms, or SCARA robots. Service robots perform useful tasks outside conventional industrial automation, including cleaning, inspection, logistics and assistance. Medical robots constitute a specialised application area with additional clinical and regulatory requirements. Humanoid describes a body form, not a particular intelligence level.

Operation can be teleoperated, semi-autonomous or highly autonomous. Teleoperation keeps a human directly involved in control; semi-autonomous systems independently execute selected functions; autonomous systems perform defined tasks within specified operating conditions. Autonomy is therefore a spectrum and is task-dependent. An autonomous warehouse robot may navigate reliably inside a mapped building yet fail in an unfamiliar outdoor environment.

• An unmanned machine is not necessarily autonomous: an underwater vehicle or aircraft may be remotely piloted.
• Robotic process automation, despite its name, usually automates software tasks rather than controlling a physical robot.

2. Components and the sense–decide–act cycle

A robot usually integrates a mechanical structure, sensors, actuators, a controller, a power supply and communication interfaces. An end effector is the device that directly performs a task, such as a gripper, welding torch or surgical instrument. Actuators convert supplied energy into motion; electric motors are common, while hydraulic and pneumatic actuators are useful where application requirements favour them. Degrees of freedom describe independent motions available to a mechanism.

Sensors measure the robot’s internal state and external surroundings. Encoders measure joint or wheel movement; inertial measurement units combine sensors such as accelerometers and gyroscopes; force and torque sensors support controlled contact. Cameras, ultrasonic sensors, radar and LiDAR assist environmental perception. LiDAR uses laser light to estimate distance, whereas radar uses radio waves. Global Navigation Satellite Systems support outdoor positioning but are unreliable or unavailable in many indoor and underground settings.

The controller processes measurements and commands actuators. In closed-loop control, feedback compares actual performance with a desired state and helps correct errors. Motion planning identifies feasible movements while accounting for obstacles and mechanical constraints. Sensor fusion combines measurements from different sources to improve estimation. Simultaneous localisation and mapping, or SLAM, allows a robot to estimate its location while constructing or updating a map of its surroundings.

• Feedback improves control but does not eliminate errors arising from poor sensing, delays or incorrect models.
• Battery capacity, payload, terrain and energy consumption constrain a mobile robot’s operating duration.

3. Artificial intelligence and frontier developments

Robotics and artificial intelligence overlap but are not interchangeable. A welding robot can repeatedly execute programmed trajectories without machine learning. Conversely, an AI language model may exist entirely as software without a robotic body. AI-enabled robotics uses methods such as computer vision, machine learning and planning to recognise objects, interpret instructions or adapt behaviour. Performance remains sensitive to training data, environmental variation and the reliability of underlying hardware.

Collaborative robotics seeks safe and productive interaction between people and robots. Depending on the application, safeguards may include monitored stopping, speed and separation monitoring, hand guiding, and power or force limitation. A robot marketed as a cobot is not automatically safe in every installation: sharp tools, heavy payloads and surrounding machinery introduce additional hazards. Risk assessment must cover the complete system, task and workplace.

Soft robotics uses compliant structures and materials, potentially enabling gentler handling of fragile objects. Swarm robotics studies coordination among multiple relatively simple robots, often through local interactions. Exoskeletons are wearable mechanisms that assist movement or augment physical capability. Digital twins provide digital representations linked to physical systems for monitoring and simulation. Edge computing processes information near the robot, reducing dependence on network connectivity, while cloud robotics can support shared computation and learning.

• Low-latency communication can assist networked robotics, but autonomous operation does not inherently require 5G or continuous internet access.
• Learning in simulation reduces some costs and risks, but transferring behaviour to real hardware remains challenging.

4. Applications and India’s robotics ecosystem

In manufacturing, robots support welding, painting, assembly, machine tending and quality inspection. They are particularly valuable for dirty, dangerous and repetitive tasks and for operations requiring consistent precision. In agriculture, robotic platforms can assist targeted spraying, weeding, crop monitoring and harvesting. Their economic viability depends on crop characteristics, field conditions, maintenance and farm scale; performance demonstrated in controlled trials may not transfer directly to fragmented Indian holdings.

Healthcare applications include robot-assisted surgery, rehabilitation, hospital logistics and disinfection. Most established surgical systems remain controlled by surgeons rather than independently making clinical decisions. Disaster response, explosive ordnance disposal, nuclear inspection and sewer inspection reduce direct human exposure to hazards. Robots can improve sanitation safety, but equipment deployment must accompany worker training, maintenance and compliance with laws prohibiting hazardous sewer and septic-tank cleaning.

India’s ecosystem includes public laboratories, academic institutions, startups and manufacturing firms. ISRO’s Chandrayaan-3 mission deployed the Pragyan lunar rover in August 2023. DRDO has developed Daksh, a remotely operated vehicle for handling suspicious objects. The Ministry of Electronics and Information Technology’s September 2023 Draft National Strategy on Robotics identified manufacturing, agriculture, healthcare and national security as priority sectors. Its proposals should be distinguished from subsequently notified measures or completed implementation.

• Relevant capabilities include precision manufacturing, embedded electronics, sensors, reliable software, systems integration and skilled maintenance.
• Robotics adoption requires application-specific testing, procurement support and accessible solutions for smaller enterprises, not merely imported equipment.

5. Safety, governance and examination distinctions

Robotic systems create physical, cyber and social risks. Sensor failure, software defects or unexpected human movement can cause collisions. Networked robots may be vulnerable to unauthorised access, manipulated updates and data theft. Appropriate safeguards include emergency stops, access controls, secure updates, fail-safe behaviour and regular maintenance. Human oversight must be meaningful: an operator needs adequate information, training and time to intervene.

Standards provide technical frameworks rather than a universal guarantee of safety. ISO 10218 addresses safety requirements for industrial robots and their applications; ISO/TS 15066 provides guidance for collaborative industrial robot systems. Medical devices and aviation applications additionally involve sector-specific requirements. India’s Drone Rules, 2021 concern unmanned aircraft systems and should not be presented as general legislation governing every robot.

Economic effects include higher productivity, improved consistency and reduced hazardous exposure, alongside displacement of particular tasks and demand for new skills. Outcomes depend on adoption patterns, reskilling and labour institutions. Robots equipped with cameras or microphones may process personal data, making privacy and cybersecurity important. Defence applications raise questions of human control and accountability, especially when autonomous functions influence the selection or engagement of targets.

• Do not equate precision with intelligence, remote control with autonomy, or a humanoid form with general-purpose capability.
• For Prelims, assess claims containing words such as all, always and necessarily: robotics encompasses many architectures and operating modes.

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