Introduction to Robot Control

Sequential Control

The simplest form of robot control is sequential, where commands are executed one after another. This approach uses a ‘repeat’ or ‘loop’ structure to perform actions multiple times. For example, moving forward, turning right, and then repeating this sequence for a set distance.

This method relies on precise timing and coordination. Errors in timing can lead to inaccurate movements. The robot essentially follows a pre-defined path without adapting to changes in its environment.

Sensor Integration – Feedback Loops

Adding sensors allows the robot to react to its surroundings, creating feedback loops. For instance, a distance sensor can measure the gap between the robot and an obstacle.

If the distance is below a threshold, the robot might stop or turn away. This dynamic behavior is crucial for robots operating in unpredictable environments.

Distance = Speed * Time

Basic Programming Languages

Several programming languages are commonly used in robot control, including Python and C++. Python’s readability and extensive libraries make it a popular choice for beginners.

C++ offers greater performance and direct hardware access, often preferred for complex robotic systems requiring real-time control. Both require understanding of variables, conditional statements (if/else), and loops.

Robot Architectures

Robot architectures can be broadly categorized into centralized and decentralized systems. Centralized control involves a single computer processing all commands, while decentralized control distributes processing among multiple robots or modules.

Choosing the right architecture depends on factors like robot complexity, communication bandwidth, and required responsiveness.

Frequently asked questions

Try it live

Everything above runs in your browser — open Inverse Kinematics (FABRIK) and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.