Introduction to robotics : explained with real life examples

Introduction to robotics : explained with real life examples

Robotics

What is a robot? :

I would like to define a robot as A device that performs work. So even our washing machine is a robot which is designed to do that particular task.

Yes, that's right. A robot is something which is more than a machine. At the same time, the technical qualifications and aesthetics of all robots are not necessarily the same. i.e if your washing machine is able to reach your bedroom and collect all the dirty clothes by itself then it must need little more brain to do that, I agree with you. What I mean is the specifications of each robot are strictly related to its purpose. If it is a non-movable robot then want is the use of implementing navigation algorithms in it 😃

Little deeper :

In technical aspects "A robot is just a group of nodes which are communicating with each other to perform one or more tasks "

Just think about a particular robot that is able to navigate in your home and clean the floors for you.

In this scenario, the robot needs the map of your home and obstacle avoidance algorithms to navigate. And it also needs to detect the dirty things on the floor to manage the cleaning process.

Normally the basic obstacle avoidance goal can be implemented by using sonar /radar sensors. So we need to place multiple sensors in our robot and it will be connected to a processing unit (say, Arduino ). Then this Arduino is a node that is communicating with the central processing unit(computer) to fulfill the needs of navigation requirements. Similarly, dirt on the floor is detected by some other mechanisms and is taken as another node in the same system. So basically a robot is a combination of these kinds of nodes and operates based on the communications between these nodes!!

Expanding on Robot Architecture and Intelligence

Now that we've established that a robot is essentially a purpose-built system composed of interconnected nodes, let’s dive a bit deeper into what this means in real-world applications.

In a well-structured robotic system, each component plays a unique role, and the beauty lies in their coordinated communication. This architecture follows the principle of modular design, which allows the robot to be scalable, maintainable, and upgradeable.

Nodes in a Robotic System

Let’s take our home-cleaning robot example forward. Here's how the internal architecture might be logically divided into nodes:

  • Navigation Node: Responsible for localization and path planning. Uses inputs from LIDAR, IMU, or wheel encoders.

  • Perception Node: Detects dirt using cameras, infrared sensors, or particle counters.

  • Motor Control Node: Converts movement commands into signals for wheels or cleaning arms.

  • Power Management Node: Monitors battery levels and manages charging routines.

  • Communication Node: Handles Wi-Fi/Bluetooth/LoRa interfaces for remote control or cloud-based monitoring.

  • User Interface Node: Displays system status or receives commands via app or touch panel.

Each of these nodes might run on a separate microcontroller, processor, or software thread. What makes this setup intelligent and dynamic is that these nodes share information—such as location data, sensor feedback, or battery status—to enable real-time decision making.

Brains Behind the System: Middleware

Now you might be wondering: How do these nodes talk to each other efficiently? This is where robotic middleware like ROS (Robot Operating System) comes into the picture. ROS acts like the central nervous system, providing the messaging infrastructure for all nodes to publish and subscribe to data.

In ROS-based systems, for instance:

  • The LIDAR node publishes scan data.

  • The Navigation node subscribes to this data and updates the robot’s position.

  • The Planning node generates velocity commands.

  • The Motor node subscribes to these commands and drives the motors accordingly.

It’s a beautiful dance of data flow, executed in real-time.

Robots: The Blend of Software and Hardware

It's crucial to recognize that a robot is not just about metal frames, motors, and wires—it's as much about software as it is about hardware. Every decision, from turning left to avoiding a wall or deciding which room to clean next, is driven by algorithms running on these nodes.

The smarter the software, the more “intelligent” the robot becomes. For example:

  • Adding SLAM (Simultaneous Localization and Mapping) capabilities helps a robot understand and map unknown environments.

  • Integrating computer vision through AI enables object detection, facial recognition, or even gesture interpretation.

  • Implementing machine learning allows adaptive behavior—your robot might learn that the kitchen gets dirty more frequently and prioritize it.

Conclusion: Purpose Defines Complexity

So, whether it's a simple washing machine, a robotic vacuum, or a warehouse logistics robot, the underlying principle is the same: nodes working in harmony through communication to achieve a defined objective.

The only difference? Complexity.
The more diverse and unpredictable the task, the more intelligent, adaptive, and multi-layered the robotic system needs to be.

This layered intelligence is what separates a basic automated system from a truly autonomous robot.