Basic Industrial Robotics Course

Lesson 1 • Robotics in the Industrial Ecosystem

Maps how robots integrate with supply chains, production lines, and enterprise systems. Connects hardware capabilities to broader business outcomes.

Lesson 2 • Core Robotics Terminology

Defines essential terms used across all robotics disciplines. Shared vocabulary enables precise communication with engineers, operators, and vendors.

Lesson 3 • History and Evolution of Robotics

Traces robotics from early automation to modern collaborative systems. Provides context for understanding why current industrial robots are designed as they are.

Lesson 1 • Robot Structural Components

Covers links, joints, and frames that form a robot's skeleton. Understanding structure is prerequisite to analysing motion and load capacity.

Lesson 2 • End-Effectors and Tooling

Details grippers, welding torches, and specialised tools attached at the robot's wrist. Proper tooling selection directly determines task success.

Lesson 3 • Actuators and Drive Systems

Explains how electrical, pneumatic, and hydraulic actuators generate motion. Students can select appropriate drive technology for a given application.

Lesson 4 • Mechanical Performance Metrics

Quantifies payload, speed, stiffness, and cycle time as measurable performance indicators. Enables data-driven robot selection and benchmarking.

Lesson 1 • Sensor Integration and Calibration

Addresses mounting, wiring, and calibration procedures for reliable sensor data. Proper integration prevents systematic errors in robot behaviour.

Lesson 2 • Vision and Range Sensing

Surveys 2D cameras, 3D depth sensors, and LiDAR for spatial perception. Vision data enables part localisation, inspection, and navigation.

Lesson 3 • Position and Motion Sensors

Covers encoders, resolvers, and inertial sensors used to track joint and body motion. These sensors form the backbone of robot position control.

Lesson 4 • Fundamentals of Robot Sensing

Defines sensing roles in open-loop vs. closed-loop control. Establishes why accurate perception is critical to reliable robot operation.

Lesson 1 • Program Testing and Debugging

Introduces dry-run, step-mode, and simulation-based verification methods. Systematic testing prevents collisions and production errors during commissioning.

Lesson 2 • Robot Programming Paradigms

Compares teach-pendant, offline, and task-level programming approaches. Choosing the right paradigm reduces programming time and error rates.

Lesson 3 • Robot Controller Architecture

Describes hardware and software layers inside a robot controller. Understanding architecture is essential before writing or modifying programmes.

Lesson 4 • Motion Types and Path Planning

Covers joint, linear, and circular motion instructions and trajectory generation. Students can select motion types to meet speed, accuracy, and clearance requirements.

Lesson 1 • Safety-Rated Control Functions

Explains emergency stop, safety-rated monitored stop, and speed-and-separation monitoring. These functions are required for collaborative and semi-collaborative operations.

Lesson 2 • Industrial Robot Safety Standards

Surveys internationally recognised safety standards governing robot design and integration. Compliance with these standards is compulsory for legal operation.

Lesson 3 • Safeguarding Technologies

Covers physical guards, light curtains, safety mats, and area scanners. Each technology is matched to specific hazard scenarios and performance levels.

Lesson 4 • Safety Documentation and Training

Covers required documentation, operator training programmes, and periodic safety audits. Proper records demonstrate due diligence and support incident investigation.

Lesson 1 • Work Cell Layout and Design Principles

Covers ergonomic, safety, and throughput considerations in cell layout. A well-designed layout minimises cycle time and operator risk simultaneously.

Lesson 2 • Electrical and Network Infrastructure

Addresses power distribution, grounding, and industrial network wiring for robot cells. Reliable infrastructure prevents electrical faults and communication failures.

Lesson 3 • Cell Performance Optimisation

Applies cycle time analysis, motion optimisation, and OEE metrics to improve cell output. Continuous improvement methods sustain competitive production performance.

Lesson 4 • Commissioning and Acceptance Testing

Defines commissioning steps from mechanical installation to full production validation. Structured acceptance testing confirms the cell meets specification before handover.

Lesson 1 • Inspection and Quality Control

Applies vision, laser scanning, and force sensing to automated quality inspection. Robot-based inspection increases throughput and eliminates human measurement variability.

Lesson 2 • Assembly and Material Handling

Addresses pick-and-place, press-fit assembly, and bin-picking for high-mix production. Flexible tooling and vision guidance enable handling of varied part geometries.

Lesson 3 • Welding and Joining Applications

Covers arc welding, spot welding, and laser joining as primary robot applications. Process parameters and seam tracking techniques are linked to weld quality outcomes.

Lesson 4 • Logistics and Warehouse Automation

Examines autonomous mobile robots, sortation systems, and goods-to-person fulfilment. Logistics robotics is the fastest-growing industrial application segment.

Lesson 1 • Human-Robot Collaboration Advances

Examines wearable exoskeletons, shared autonomy, and intuitive programming for closer human-robot teaming. These advances expand robot deployment to small-batch and craft production.

Lesson 2 • Digital Twins and Simulation

Explains how virtual robot models synchronise with physical systems for monitoring and optimisation. Digital twins reduce commissioning time and enable predictive maintenance.

Lesson 3 • Next-Generation Robot Platforms

Surveys soft robots, humanoid robots, and swarm systems as emerging hardware paradigms. Understanding platform diversity prepares students for technology selection decisions.

Lesson 4 • Strategic Technology Roadmapping

Applies technology readiness levels and roadmapping tools to plan robotic investments. Students can align robot technology adoption with organisational strategy and market trends.