Industrial Robotics and Robot Programming

Introduction

Industrial robots are programmable, multifunctional machines designed to move materials, parts, tools, or specialized devices through controlled sequences. They have become central to automated manufacturing because they combine repeatability, speed, flexibility, and the ability to operate in hazardous environments. Typical applications include machine tending, palletizing, arc and spot welding, painting, assembly, inspection, dispensing, machining, and collaborative assistance.

A robot is not simply a mechanical arm. An effective robotic manufacturing system includes the manipulator, drive system, controller, programming environment, end effector, sensors, safety systems, fixtures, process equipment, and interfaces to other production resources. Robot selection and programming must therefore be treated as an engineering and systems-integration problem.

This chapter examines robot anatomy, coordinate systems, kinematics, work envelopes, payload, accuracy, end effectors, programming methods, industrial applications, collaborative operation, safety, and integration.

Learning Objectives

After studying this chapter, the learner should be able to:

1. Identify the principal mechanical and control components of an industrial robot.
2. Distinguish robot configurations, degrees of freedom, coordinate frames, accuracy, repeatability, and resolution.
3. Explain forward and inverse kinematics and interpret the robot work envelope.
4. Select a robot using payload, reach, speed, accuracy, environment, and process requirements.
5. Choose and evaluate end effectors and sensing systems.
6. Develop basic robot programs using frames, taught points, motion commands, and I/O.
7. Integrate robots into handling, welding, painting, machining, and collaborative operations.
8. Apply risk-reduction principles and relevant safety practices.

1. Robot Anatomy and Classification

1.1 Main elements of a robotic system

A typical industrial robot cell contains the following elements:

• Manipulator: The mechanical structure that positions and orients the tool.
• Joints and links: Joints provide controlled relative motion; links connect joints.
• Actuators and transmissions: Electric servomotors, gearboxes, harmonic drives, belts, or ball screws convert control commands into motion.
• Controller: A computer-based unit that plans motion, controls servo drives, manages inputs and outputs, and executes programs.
• Teach pendant or programming interface: A handheld or software interface for jogging, teaching points, editing programs, and monitoring status.
• End-of-arm tooling: The gripper, welding torch, spray gun, spindle, screwdriver, sensor, or other device attached to the wrist.
• Sensors: Encoders, force sensors, vision systems, proximity sensors, pressure switches, and process sensors.
• Cell infrastructure: Fixtures, conveyors, guarding, safety devices, utilities, and communication networks.

1.2 Joints and degrees of freedom

A robot’s degree of freedom (DOF) is an independent motion variable. A rotary joint contributes angular motion, while a linear or prismatic joint contributes translational motion. Most general-purpose industrial articulated robots have six degrees of freedom: three commonly position the wrist center and three orient the tool.

The first three axes largely determine where the wrist is located. The wrist axes determine tool orientation, often described as roll, pitch, and yaw. Six DOF are not always required. A palletizing robot may use four axes, whereas a highly dexterous assembly robot may use seven or more.

1.3 Common robot configurations

Robot configuration affects accessibility, stiffness, singularities, speed, cost, and programming complexity. No configuration is universally superior.

2. Coordinate Frames and Robot Pose

A robot must describe both the location and orientation of its tool. This requires coordinate frames. A frame consists of an origin and three mutually perpendicular axes, conventionally X, Y, and Z.

Important frames include:

• World or base frame: Fixed to the robot base or cell.
• Joint frame: Associated with a particular joint or link.
• Tool frame: Fixed to the tool center point (TCP), such as the tip of a welding torch or gripping surface.
• User, workpiece, or fixture frame: Attached to a fixture or part, allowing programs to remain valid when the fixture is relocated.
• Camera or sensor frame: Associated with a vision or measurement system.

A robot pose combines position and orientation. Position is commonly represented as (x, y, z), while orientation may be represented by Euler angles, roll–pitch–yaw angles, or a rotation matrix. Euler-angle conventions differ between manufacturers; therefore, the order of rotations must always be specified.

The tool center point is critical. If the TCP is incorrectly defined, the robot may follow apparently correct joint motions while the actual process point deviates from the intended path. TCP calibration may use several taught orientations around a fixed point or a manufacturer-specific calibration routine.

A homogeneous transformation is a compact mathematical representation of position and orientation:

Here, R is a 3 × 3 rotation matrix, p is a 3 × 1 position vector, and the final row provides homogeneous-coordinate notation. A transformation may express a tool frame relative to the base frame or one link relative to another. Transformations are multiplied in sequence, but matrix multiplication is generally not commutative; changing the order changes the physical result.

3. Kinematics and Work Envelopes

3.1 Forward kinematics

Forward kinematics calculates the position and orientation of the tool from known joint variables. For a serial robot, the transformations of successive links are multiplied:

The notation T_i^j describes the pose of frame j relative to frame i. The equation assumes that the link geometry and joint variables are correctly defined and that rigid-body behavior is an adequate model.

For a simple two-link planar arm with link lengths L₁ and L₂ and joint angles θ₁ and θ₂, the end-point coordinates are:

Angles must use a consistent unit, normally radians in computation or degrees where explicitly supported by the controller. The equations describe an ideal planar mechanism and do not include compliance, calibration error, tool offset, or interference.

3.2 Inverse kinematics

Inverse kinematics calculates joint variables required to achieve a desired tool pose. It is more difficult because a pose may have multiple solutions, no feasible solution, or a solution outside joint limits. A six-axis robot may reach the same point with different elbow configurations or wrist orientations.

A controller evaluates inverse-kinematic solutions while considering joint limits, collision avoidance, singularities, configuration preferences, and motion continuity. A programmer should not assume that two nearby Cartesian points will automatically produce the desired continuous joint motion; configuration data and approach directions may need to be specified.

3.3 Singularities

A singularity is a robot configuration in which one or more independent directions of tool motion become unavailable or require extremely high joint velocities. Near a singularity, the robot may move unexpectedly, slow down, or generate a fault. Wrist alignment in a six-axis articulated robot is a common example.

Singularities are managed by changing the path, altering tool orientation, using a different robot configuration, reducing speed, or selecting a different robot. They are a planning concern, not merely a programming inconvenience.

3.4 Work envelope

The work envelope is the three-dimensional region that the robot can reach. The theoretical envelope is constrained in practice by joint limits, self-collision, external obstacles, wrist orientation, payload, speed, cable routing, and safety clearance. A robot may reach a point but be unable to approach it with the required tool orientation.

Robot layout should consider reach at every process point, not only the farthest point. A useful design includes access for loading, maintenance, tooling change, emergency response, and safe recovery after faults.

4. Performance Specifications and Selection

4.1 Payload

Payload is the maximum mass the robot can carry under stated conditions. It includes the workpiece, gripper, adapters, hoses, cables, and other wrist-mounted equipment. Payload capacity is not determined by mass alone. The distance of the center of gravity from the wrist, inertial loads, orientation, acceleration, and moment loads are also important.

The static gravitational force associated with a mass is:

where F_g is force in newtons, m is mass in kilograms, and g is gravitational acceleration, approximately 9.81 m/s² near Earth’s surface. During acceleration, additional force and torque occur. Manufacturers therefore specify allowable mass, center-of-gravity location, moments, and inertia for particular operating conditions.

A practical selection should provide engineering margin rather than operate continuously at the catalogue maximum. The margin must reflect acceleration, tooling changes, uncertainty in part mass, and future process requirements.

4.2 Accuracy, repeatability, resolution, and compliance

• Accuracy: Difference between the commanded and actual position.
• Repeatability: Ability to return to the same position under the same conditions.
• Resolution: Smallest programmable or measurable increment.
• Compliance: Deflection or yielding in response to force.

Industrial robots often have excellent repeatability but lower absolute accuracy. A robot can therefore return repeatedly to a taught point while that point is offset from its nominal CAD location. Calibration, external measurement, vision, or force control may be needed for high-accuracy operations.

4.3 Speed and cycle time

Cycle time includes robot travel, acceleration and deceleration, process time, gripping or release time, sensor confirmation, and communication delays. Maximum axis speed alone does not determine productivity. Excessive speed may increase vibration, settling time, wear, collision risk, and quality variation.

A cycle-time estimate should model the complete sequence and include realistic allowances for signal handshakes, part variation, tool changes, and recovery from minor faults.

4.4 Environmental requirements

Selection must account for temperature, dust, moisture, corrosive chemicals, cleanroom requirements, washdown, explosive atmospheres, and welding spatter. Painting robots may require explosion-protected designs and specialized grounding, ventilation, and fluid-delivery systems. Machining applications require protection from chips, coolant, vibration, and cutting forces.

5. End Effectors and Sensors

The end effector is the robot’s functional interface with the process. Its design strongly influences productivity and quality.

5.1 Grippers

Mechanical grippers may use parallel jaws, angular jaws, three-finger mechanisms, or custom fingers. Vacuum grippers use suction cups and require adequate surface condition, vacuum generation, and monitoring. Magnetic grippers are useful for ferromagnetic parts but may retain chips or release parts if power is lost.

Gripper design must consider:

• Part mass and center of gravity.
• Surface finish, temperature, porosity, and contamination.
• Required gripping force and safety factor.
• Collision clearance and access.
• Part deformation and marking.
• Confirmation of grip before motion.
• Safe behavior during air or electrical failure.

5.2 Process tools

Welding torches, spray guns, spindles, dispensing nozzles, screwdrivers, deburring tools, and inspection probes require process-specific utilities and controls. Tool changers increase flexibility but introduce alignment, locking, sensing, and maintenance requirements.

5.3 Sensors

Sensors can verify presence, measure position, detect force, identify parts, or monitor process quality. Vision systems may locate randomly oriented parts or compensate for fixture variation. Force–torque sensing is valuable in insertion, polishing, deburring, and collaborative contact tasks. Sensors should be selected according to required accuracy, response time, environmental durability, and integration method.

6. Robot Programming

6.1 Programming methods

Common methods include:

1. Teach pendant programming: The operator jogs the robot, records points, and inserts instructions. It is effective for moderate-complexity applications.
2. Offline programming: A digital model is used to create and simulate programs away from production. It reduces downtime but depends on accurate models and calibration.
3. Lead-through programming: The robot is guided manually or through force sensing. It is common in some collaborative and small-batch applications.
4. Textual or vendor-specific programming: Structured instructions support variables, loops, branching, subroutines, and error handling.
5. PLC and supervisory programming: A programmable logic controller or manufacturing execution system coordinates the robot with conveyors, machines, safety systems, and production data.

6.2 Basic motion types

• Joint motion: Each axis moves in a coordinated manner to reach a target; the tool path may not be a straight line.
• Linear motion: The TCP follows a straight Cartesian path between points, important for insertion, welding, painting, and approach movements.
• Circular motion: The TCP follows an arc defined by suitable points.
• Approach and retreat motion: Controlled movement toward and away from a part reduces collision risk.

A program should define speed, acceleration or blending, tool frame, work frame, configuration, and process conditions. Blending can reduce cycle time by allowing the robot to pass smoothly near intermediate points, but excessive blending may reduce path accuracy.

6.3 Program structure

A robust program commonly contains:

1. Initialization and tool/frame selection.
2. Safe-home or start-position verification.
3. Part-present and machine-ready checks.
4. Approach motion.
5. Process or grip operation.
6. Confirmation of successful operation.
7. Transfer and release.
8. Completion signal.
9. Fault handling and recovery.

Illustrative pseudocode is shown below. The commands are conceptual; actual syntax differs by manufacturer.

PROGRAM LoadMachine
  SELECT_TOOL Gripper_1
  SELECT_FRAME Fixture_A
  MOVE_JOINT Safe_Home
  WAIT Part_Present = TRUE
  MOVE_LINEAR Pick_Approach SPEED 300 mm/s
  MOVE_LINEAR Pick_Point SPEED 80 mm/s
  GRIP CLOSE
  WAIT Grip_OK = TRUE TIMEOUT 1.0 s
  MOVE_LINEAR Pick_Approach SPEED 200 mm/s
  MOVE_JOINT Machine_Approach SPEED 40%
  MOVE_LINEAR Machine_Load_Point SPEED 80 mm/s
  SIGNAL Machine_Loaded
  WAIT Machine_Cycle_Complete = TRUE
  MOVE_LINEAR Machine_Load_Point SPEED 80 mm/s
  MOVE_LINEAR Machine_Approach SPEED 200 mm/s
  MOVE_JOINT Safe_Home SPEED 40%
END_PROGRAM

The timeout and grip confirmation are important. Without them, a failed grip or missing machine signal could cause an unsafe or defective sequence.

6.4 Good programming practice

Programs should use meaningful names, modular subroutines, consistent frames, comments, version control, and controlled access. Critical points should be taught with the correct tool and work frame. Programs must be tested first at reduced speed, then progressively increased while observing clearances and process behavior.

Fault recovery should be designed rather than improvised. A recovery routine may identify whether a part is held, whether a machine is occupied, and whether the robot can safely return to a known state. Restarting blindly from the middle of a process can cause collision, double loading, or damage.

7. Industrial Applications

7.1 Material handling and machine tending

Robots load and unload presses, CNC machines, injection moulding machines, and test stations. Benefits include consistent loading, reduced manual handling, and improved machine utilization. Integration requires part-present sensing, fixture confirmation, door and chuck interlocks, chip management, and coordination with the machine controller.

7.2 Welding

Spot welding robots manipulate electrodes and apply programmed weld schedules. Arc welding requires coordinated torch position, travel speed, orientation, wire feed, shielding gas, and power-source control. Joint tracking, seam finding, and adaptive control may compensate for part variation.

Weld quality depends on more than path accuracy. Contact-tip condition, electrode wear, fit-up, heat input, shielding, and fixture repeatability must also be controlled.

7.3 Painting and dispensing

Painting requires controlled standoff distance, gun orientation, speed, overlap, atomization, and ventilation. Dispensing applications require accurate flow control, bead geometry, and start–stop compensation. Hazardous-area classification, grounding, and contamination control are essential in paint systems.

7.4 Robotic machining

Robots may perform trimming, drilling, routing, grinding, polishing, and deburring. Compared with machine tools, many industrial robots have lower structural stiffness and may deflect under cutting forces. Consequently, tool selection, low-force strategies, external positioners, force control, and calibration are important. Robots are especially attractive for large components, variable products, and operations where flexibility outweighs extreme precision.

7.5 Collaborative operation

Collaborative robots, or cobots, are designed to operate in applications where people and robots share a workspace under controlled conditions. Collaboration does not mean that every robot can safely work beside a person without guarding. Risk assessment must consider speed, force, pinch points, sharp tools, payload, workpiece geometry, unexpected motion, and the complete application.

Collaborative methods include safety-rated monitored stop, hand guiding, speed and separation monitoring, and power-and-force limiting. A conventional robot fitted with a safety scanner may also support collaborative operation, but the system must be assessed as a whole.

8. Safety, Standards, and Governance

The primary safety principle is risk reduction through design. A typical hierarchy is:

1. Eliminate hazards where possible.
2. Use inherently safer design and engineering controls.
3. Apply guards, interlocks, scanners, light curtains, emergency stops, and safe-speed functions.
4. Establish procedures, training, inspection, and maintenance.
5. Use personal protective equipment as a supplementary measure.

A robot cell should be assessed for crushing, trapping, impact, cutting, ejection, electrical energy, pneumatic or hydraulic energy, heat, fumes, radiation, noise, and unexpected restart. Lockout/tagout or an equivalent energy-isolation procedure is required for maintenance. Safety devices must not be bypassed to improve cycle time.

Risk assessment should cover normal production, setup, teaching, troubleshooting, tool change, cleaning, maintenance, recovery from faults, and foreseeable misuse. Standards and legal requirements vary by jurisdiction, but industrial robot installations commonly reference machinery risk assessment principles, industrial robot safety standards, electrical standards, and collaborative-robot technical specifications.

Cybersecurity is increasingly a safety concern. Unauthorized program changes, compromised network devices, or manipulated production data can create physical hazards. Access control, authentication, backups, network segmentation, change logging, and tested recovery procedures are therefore part of responsible robot governance.

9. Integration and Performance Evaluation

Robot integration involves mechanical, electrical, control, information, and human factors. A successful cell defines interfaces for:

• Part transfer and orientation.
• Machine-ready and cycle-complete signals.
• Tool utilities and tool-change status.
• Safety circuits and safe states.
• Quality inspection and traceability.
• Maintenance access and diagnostics.
• Production scheduling and data collection.

Useful performance measures include cycle time, availability, quality rate, unplanned downtime, mean time between failures, mean time to repair, energy consumption, and changeover time. A common overall equipment effectiveness relationship is:

Each factor is expressed as a fraction or percentage. Availability compares operating time with planned production time; performance compares actual output rate with ideal output rate; quality compares good units with total units. The factors must be defined consistently, and multiplying percentages requires conversion to decimal fractions before calculation.

For example, if availability is 0.90, performance is 0.95, and quality is 0.98:

OEE is a diagnostic indicator, not a complete measure of manufacturing value. It should not encourage unsafe speed, excessive inventory, or production of unnecessary parts.

10. Illustrative Case: Robotic CNC Machine Tending

Background

A machining company produces two aluminium housing variants. Operators manually load a CNC machine, close the door, start the cycle, remove the finished part, and place it in an inspection tray. Repetitive handling and inconsistent loading cause fatigue and occasional fixture errors.

Problem

The company requires unattended operation during selected shifts but must retain the ability to change between two product variants. The parts weigh 6 kg, and the proposed gripper weighs 8 kg. The robot must reach the fixture, maintain clearance from the machine door, and provide confirmation that the part is correctly gripped.

Analysis

The nominal wrist payload is at least:

The selection cannot stop at 14 kg. The engineering team also considers the gripper’s center of gravity, acceleration, moment rating, cable routing, and future tooling. A robot with a 20 kg catalogue payload may be unsuitable if the combined center of gravity exceeds the manufacturer’s allowable moment.

The team maps the machine door, fixture, stock tray, inspection tray, and safe maintenance area. It identifies a potential wrist singularity near the machine entrance and changes the approach orientation to maintain a stable wrist configuration.

Approach and solution

The cell uses:

• A six-axis robot on a floor-mounted pedestal.
• A dual mechanical gripper for raw and finished parts.
• Part-present sensors in the raw-material tray.
• Grip-pressure and jaw-position confirmation.
• Machine-door and fixture interlocks.
• A barcode or recipe selection signal for the product variant.
• A light curtain and guarded access door.
• A PLC coordinating robot, CNC, inspection, and safety states.

The program uses a fixture work frame so that the taught points remain meaningful after controlled fixture adjustment. Linear approach and retreat motions are used near the fixture. The robot waits for machine-ready confirmation before loading and verifies grip before leaving the tray. Recovery logic distinguishes between an empty gripper, a raw part held, and a finished part held.

Outcome

The cell reduces manual handling and improves loading consistency. The most important improvement does not come from robot speed alone; it results from reliable handshaking, calibrated tooling, controlled fixtures, and recovery logic. Operators are retrained for setup, inspection, maintenance, and safe intervention rather than eliminated from the process.

Learning points

1. Payload includes tooling as well as the workpiece.
2. Reach must be evaluated with orientation and clearance, not only distance.
3. Sensors and interlocks are essential to reliable integration.
4. A work frame simplifies controlled fixture changes.
5. Human roles shift toward supervision, setup, quality, and maintenance.

11. Limitations and Contemporary Developments

Industrial robots are powerful but not universally appropriate. They may be uneconomical for very low volumes, difficult to justify where parts vary unpredictably, or inadequate where extreme stiffness and nanometre-scale accuracy are required. Integration, fixturing, programming, maintenance, and safety engineering can cost more than the manipulator itself.

Current developments include vision-guided robotics, force-controlled assembly, digital twins, cloud-connected condition monitoring, additive manufacturing with robotic arms, autonomous mobile manipulators, and machine-learning methods for perception and path adaptation. Artificial intelligence can improve object recognition, anomaly detection, and process optimization, but it does not remove the need for deterministic safety functions, validation, cybersecurity, or human oversight. Safety-critical behavior should be based on validated systems with predictable failure modes.

Best practice is to begin with a clearly defined process, perform a feasibility study, verify part and fixture variation, select the robot and tooling together, simulate reach and interference, prototype the end effector, validate safety, and measure the complete production system after commissioning.

Chapter Summary

Industrial robotics combines mechanical structure, actuators, controllers, programming, tooling, sensors, safety systems, and production equipment. Robot configuration and degrees of freedom determine reach, orientation, speed, stiffness, and accessibility. Coordinate frames and TCP definition are fundamental to accurate programming. Forward kinematics predicts tool pose from joint variables, while inverse kinematics determines joint configurations for a desired pose; singularities and joint limits constrain feasible motion.

Robot selection must consider payload, center of gravity, moments, reach, orientation, speed, accuracy, repeatability, environment, tooling, and integration requirements. End effectors and sensors determine whether the robot can reliably perform the process. Effective programs use appropriate motion types, calibrated frames, signal handshakes, confirmation logic, modular structure, and recovery routines.

Robots are widely used in handling, welding, painting, machining, and collaborative applications. Safety requires application-specific risk assessment, engineering controls, energy isolation, validated safety functions, and disciplined maintenance. Successful automation is measured not merely by robot speed but by the performance, quality, availability, safety, and maintainability of the complete manufacturing cell.

Key Terms

Robot manipulator: Mechanical structure that positions and orients a tool.

Degree of freedom: Independent motion variable of a mechanism.

Joint: Mechanical connection that permits controlled relative motion.

End effector: Device attached to the robot wrist to perform a task.

Tool center point: Defined point on the tool used for programming and motion control.

Coordinate frame: Origin and axes used to describe position and orientation.

Forward kinematics: Calculation of tool pose from joint variables.

Inverse kinematics: Calculation of joint variables for a desired tool pose.

Work envelope: Region that a robot can reach under specified constraints.

Payload: Maximum specified load carried by the robot, including tooling.

Accuracy: Difference between commanded and actual position.

Repeatability: Ability to return to a position consistently.

Resolution: Smallest programmable or measurable increment.

Singularity: Configuration in which one or more motion directions become unavailable or difficult to control.

Teach pendant: Operator interface for jogging, teaching, and programming a robot.

Offline programming: Programming and simulation performed away from the production cell.

Machine tending: Automated loading and unloading of a machine tool or process machine.

Collaborative robot: Robot system designed for controlled operation in proximity to people.

Risk assessment: Structured evaluation of hazards, likelihood, severity, and risk-reduction measures.

Overall equipment effectiveness: Product of availability, performance, and quality factors.

Review Questions

Short Answer Questions

1. What is the difference between robot accuracy and repeatability?
2. Why is correct TCP calibration important?
3. Define forward kinematics and inverse kinematics.
4. Name three factors that influence robot payload selection besides mass.
5. What is the purpose of a machine-ready handshake in a robot program?

Long Answer Questions

1. Explain the principal components of an industrial robotic cell and describe how they interact.
2. Compare Cartesian, SCARA, delta, and articulated robots in terms of configuration and applications.
3. Explain coordinate frames, tool frames, and work frames in robot programming.
4. Discuss the design requirements of end effectors for material-handling applications.
5. Explain how safety should be incorporated into the design, programming, commissioning, and maintenance of a robot cell.

Analytical / Application Questions

1. A robot carries a 10 kg workpiece and a 7 kg gripper. Explain why selecting a robot with a nominal 17 kg payload may still be inadequate. Identify the additional data required.
2. Design a sequence for a robot that loads a CNC machine. Specify the required sensors, interlocks, motion types, confirmation signals, and fault-recovery actions.
3. A proposed collaborative welding application places a robot and an operator in the same area. Analyze the hazards and recommend whether collaboration, guarding, or a hybrid arrangement is most appropriate. Justify the decision using process energy, tooling, access, and foreseeable misuse.

Multiple Choice Questions with Answers

Question 1

Which robot property describes its ability to return repeatedly to the same position?

A. Accuracy

B. Repeatability

C. Payload

D. Resolution

Correct Answer: B. Repeatability

Question 2

What is the primary purpose of a tool center point in robot programming?

A. To measure motor temperature

B. To define the process point used for motion control

C. To calculate electrical power

D. To determine the robot’s maximum payload

Correct Answer: B. To define the process point used for motion control

Question 3

Which calculation is an example of forward kinematics?

A. Finding joint angles for a desired tool pose

B. Finding tool pose from known joint variables

C. Finding motor current from payload mass

D. Finding cycle time from production demand

Correct Answer: B. Finding tool pose from known joint variables

Question 4

A robot carries a 6 kg part and an 8 kg gripper. What is the nominal combined mass?

A. 2 kg

B. 8 kg

C. 14 kg

D. 48 kg

Correct Answer: C. 14 kg

Question 5

Which motion type is generally most suitable for maintaining a straight tool path during insertion?

A. Joint motion

B. Linear motion

C. Random motion

D. Home motion

Correct Answer: B. Linear motion

Question 6

Which item must be included in a robot’s payload assessment?

A. Only the workpiece mass

B. Only the robot base mass

C. Workpiece, gripper, and wrist-mounted equipment

D. Only the controller enclosure

Correct Answer: C. Workpiece, gripper, and wrist-mounted equipment

Question 7

What is a common effect of operating near a robot singularity?

A. Unlimited payload capacity

B. Loss of one or more independent motion directions

C. Automatic improvement in accuracy

D. Reduced need for calibration

Correct Answer: B. Loss of one or more independent motion directions

Question 8

Which sequence best represents a robust machine-tending program?

A. Move, ignore sensors, and restart after faults

B. Initialize, verify readiness, approach, grip, confirm, transfer, and recover faults

C. Start at maximum speed and adjust tooling later

D. Disable interlocks during production

Correct Answer: B. Initialize, verify readiness, approach, grip, confirm, transfer, and recover faults

Question 9

Given availability 0.90, performance 0.95, and quality 0.98, what is the approximate OEE?

A. 0.8379 or 83.8%

B. 0.9500 or 95.0%

C. 2.83 or 283%

D. 0.0900 or 9.0%

Correct Answer: A. 0.8379 or 83.8%

Question 10

Which statement about collaborative robots is correct?

A. They are automatically safe for every application

B. They require no risk assessment when used near people

C. The complete application must be assessed, including tooling and process hazards

D. They cannot use safety-rated monitoring

Correct Answer: C. The complete application must be assessed, including tooling and process hazards