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The “New Age” of robotics is characterised by robots that are not just strong and fast, but also truly intelligent, perceptive,
and adaptable. The continuous evolution of AI and Machine Learning will undoubtedly lead to even more groundbreaking
applications, further blurring the lines between science fiction and reality, and fundamentally changing how we live, work,
and move. These developments offer exciting career prospects for students passionate about technology and innovation.
Components of Robots: System Visualisation, Design, and Creation

Creating a robot is a complex process that moves from an abstract idea to a tangible, functioning machine. This journey
relies on meticulous planning, detailed design, and highly precise manufacturing techniques. This entire process is
encapsulated by “System Visualisation, Design, and Creation,” which leverages advanced tools like Computer-Aided
Design (CAD) and precision manufacturing.

System Visualisation: Bringing the Idea to Life (Virtually)
Before any physical part of a robot is built, engineers and designers need to visualise how it will look, move, and interact
with its environment. This “system visualisation” is crucial for early-stage development and problem-solving.

Concept Generation and Sketching
It begins with initial ideas, sketches, and rough layouts to define the robot’s purpose, overall structure, and how its
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various parts might fit together. This is where the functional requirements (what the robot needs to do) are translated
into preliminary design concepts.
Example: For a new medical robot designed to assist in delicate surgeries, the initial visualisation might involve
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sketching how human hands would interact with its controls and how its robotic arms would reach inside a patient’s
body without obstructions.

3D Modelling and Digital Prototyping
Once a concept is solidified, it’s translated into a detailed three-dimensional (3D) digital model using specialised
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software. This is where Computer-Aided Design (CAD) plays a central role.
Role of CAD:
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Detailed Geometry: CAD software (like SolidWorks, Autodesk Inventor, Fusion 360) allows engineers to create
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precise 3D models of every component of the robot – from the tiniest gear to the largest structural frame. They
can define exact dimensions, materials, and how parts will connect.
Assembly Modelling: Individual components are then assembled digitally in the CAD environment. This allows
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designers to see how all parts fit together, identify potential clashes or interference, and ensure proper clearances
before any physical manufacturing begins.
Kinematic and Dynamic Simulation: CAD software often integrates with Computer-Aided Engineering (CAE)
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tools.
� Kinematic Simulation: This simulates the robot’s motion without considering forces. It helps verify if the robot
can reach all necessary points, if its joints have sufficient range of motion, and if it avoids self-collision.
� Dynamic Simulation: This analyses the robot’s behaviour under various forces and loads (e.g., how it moves
when lifting a heavy object, or how vibrations might affect its stability). This helps in optimising motor sizes
and structural strength.
Virtual Testing: Instead of building expensive physical prototypes for every design iteration, engineers can test
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their robot’s performance virtually. They can simulate tasks, check for collisions, and analyse stress points, saving
significant time and cost.
Impact: CAD enables rapid iteration of designs, comprehensive virtual testing, and precise communication among
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design teams. It allows engineers to “build” and “test” a robot thousands of times on a computer before producing
a single physical part.

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