Page 99 - Toucpad robotics C11

Safety Testing:
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∑ Description: Specifically testing safety mechanisms (e.g., emergency stops, collision avoidance, force limits in
collaborative robots) to ensure they activate correctly and prevent harm.
∑ Purpose: Crucial for any robot that interacts with humans or operates in sensitive environments.
Simulations:
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∑ Description: Running the robot’s software in a virtual environment (a simulator) that mimics the real world.
This allows for testing complex scenarios, especially dangerous or time-consuming ones, without risking physical
damage to the robot or its environment.
∑ Purpose: Rapid prototyping, testing rare events, training Artificial Intelligence algorithms, and performing
regression tests efficiently.

Iterative Process
Debugging and testing are not one-time events; they are continuous and iterative processes throughout the entire robot
development lifecycle. Finding a bug during testing leads to debugging, which leads to a fix, which then requires more
testing to ensure the fix worked and didn’t introduce new problems. This cycle repeats until the robot is stable, reliable,
and meets all its requirements.

In essence, debugging and testing are the final crucial hurdles that transform a collection of components and lines of code
into a functional, reliable, and safe robotic system. They are the quality control steps that ensure the robot, whether it’s
navigating the bylanes of Delhi or operating in an industrial plant, performs its tasks correctly and efficiently, ultimately
building trust in its autonomous capabilities.

AI Can Beat Humans in Games but Struggles with Common Sense
AI systems like Deep Blue (chess), AlphaGo (Go), and OpenAI s systems
(video games like Dota 2) have beaten the world’s best human players. These victories prove
BRAINY how powerful AI can be in analysing millions of possible moves and strategies. However,
FACT while AI can dominate in structured environments like games, it often fails in simple real-world
reasoning. For example, an AI might “know” millions of game strategies but not
understand that ice cream melts in the sun. That’s the current gap between artificial
and human intelligence.

ROBOT DYNAMICS

Computing = the brain of robotics.
Boolean logic = based on true (1) and false (0).
Algorithms are step-by-step instructions to solve problems.
Flowcharts = graphical representation of algorithms.

Pseudocode = plain-language version of program logic.
Microcontrollers (Arduino) control sensors/actuators in real-time.
Single Board Computers (Raspberry Pi) handle complex tasks, multitasking, AI.
Controllers process input logic output.
Decision-making in robotics is rooted in Boolean operations.

Computing gives robots intelligence and autonomy.

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Computing System