Page 38 - Toucpad robotics C11

Algorithms for Programming and Problem-Solving

Every robot, no matter how simple or advanced, needs a well-structured plan to carry out its task. Before a robot moves,
senses, or reacts, it must think logically — step by step — to decide what to do next. This logical plan is called an Algorithm.
In the same way that humans follow a recipe to cook a dish or a set of instructions to build a model, robots also follow
algorithms to perform actions precisely and efficiently.
In robotics, algorithms form the core intelligence behind every robot’s behaviour — whether it is a line-following robot, an
industrial arm assembling car parts, or a Mars Rover exploring the red planet.
At its core, an algorithm is a logical representation of a solution. It describes how to solve a problem, not how to code it. It
gives a clear roadmap from the starting point to the solution — something that both humans and computers can interpret.
Definition:

“An algorithm is a well-defined, step-by-step process designed to solve a problem or accomplish a specific task.”
Example:
Imagine a robot that must move forward until it detects an obstacle and then stop.
Algorithm:
1. Start

2. Activate the ultrasonic distance sensor
3. Measure the distance to the nearest obstacle
4. If distance > 20 cm Move Forward
5. If distance ≤ 20 cm Stop
6. Repeat the above steps until destination is reached
7. End
Here, the robot’s thinking process is defined clearly — each step is logical and can be implemented as code later.

Importance of Algorithms in Robotics

Algorithms are the systematic flow of robotic systems. They help a robot:
Understand and analyse data received from sensors
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Take logical decisions in real time
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Execute tasks efficiently and consistently
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Adapt to changes in the environment
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Perform repetitive or complex operations without human intervention
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From obstacle avoidance to voice recognition, from autonomous driving to robotic surgery — every robotic function starts
with an algorithm.

Characteristics of a Good Algorithm

A good algorithm must possess the following features:
1. Finiteness: It should have a definite beginning and an end. The steps must be limited in number.
2. Definiteness: Each step should be precisely and unambiguously defined.
3. Input: It must clearly state the data required to start (for example, sensor readings, distance values, colour
input, etc.).
4. Output: The result of processing the input — for example, motor movement, LED status, or an alert message.
5. Effectiveness: The algorithm’s instructions should be simple, logical, and executable by the robot’s controller.
6. Generalization: It should be applicable to similar problems, not just a single situation.

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