Page 27 - Toucpad robotics C11

Example: A delivery robot operating in a city uses GPS and Lidar to create a detailed map of its surroundings
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(mapping). It then uses localization algorithms to know exactly where it is on that map. When given a delivery
address, path planning algorithms calculate the safest and most efficient route, avoiding pedestrians, traffic, and
construction, and the robot executes this route using motion control.
The synergy between advanced sensors and sophisticated AI algorithms is what truly unlocks the potential of autonomous
and semi-autonomous robotics.
Autonomous vs. Semi-Autonomous Operation

The degree to which a robot can operate independently from human control defines its level of autonomy. It’s not a simple
“on/off” switch but rather a spectrum.

Autonomy from Start to Finish
Level Concept Definition Who's in Control

0 Human Operation The Operator controls the machine at all times.

1 Automation The operator has overall control of the machine and
(Function-specific) is responsible for its safe operation, but can transfer
limited control over a specific function (like moving
a bucket or blade) to the machine.

2 Semi-autonomous The machine accomplishes a subset of its defined
tasks without operator interaction. The operator
performs the remaining tasks.

3 Autonomous The machine accomplishes all its defined tasks
without operator interaction and is responsible for
all safety-critical earthmoving functions.

Autonomous Robots
Definition: An autonomous robot is a robot that can operate entirely on its own, without continuous human
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intervention, once it has been given a task or a general goal. It can perceive its environment, make decisions, and act
independently to achieve its objectives.
Characteristics:
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High Level of Intelligence: Capable of complex reasoning, learning, and adaptation.
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Sophisticated Sensors: Extensive sensor suites to gather comprehensive environmental data.
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Robust Decision-Making Algorithms: AI algorithms that allow it to handle unforeseen circumstances and
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uncertain data.
Self-Correction: Ability to detect errors and correct its own actions.
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Examples:
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Self-Driving Cars (Level 5 autonomy): The ultimate goal is for these vehicles to navigate all road conditions
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and situations without any human input whatsoever. While true Level 5 cars are still in development, current
advanced prototypes show significant autonomous capabilities.
Robotic Vacuum Cleaners (e.g., Roomba): Once started, they map your home, navigate around furniture, clean
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designated areas, and return to their charging dock all by themselves.

25
Introduction to Robots: What Exactly are They?