Robotics & Embedded systems Flashcards

(27 cards)

1
Q

What are the electrical components of a robot?

A

Sensors
Actuators
Microprocessors

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2
Q

Embedded system characteristics

A

1 Performs a dedicated single function

#2 Has software that is not easily updated/reprogrammed
#3 An embedded system has a microprocessor (Computers have CPUs)
#4 Embedded system has a lower cost
#5 Small in size
#6 Less power than a general-purpose computer

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3
Q

Embedded system examples?

A

Washing machines
Dishwashers
Factory equipment
Security systems
Traffic lights

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4
Q

Expert System

A

Mimics human knowledge and experience and uses a combination of the two to solve problems or answer questions.

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5
Q

Advantages of Expert Systems

A

1 Consistent results

#2 Faster responses
#3 Can store large amounts of data
#4 Unbiased

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6
Q

Disadvantages of Expert Systems

A

1 Only as good as the data entered

#2 Responses can be cold and lack human emotion
#3 Requires training to use correctly

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7
Q

What is machine Learning?

A

By giving a machine data so that it can ‘learn over time’ it helps towards training a machine or software to perform a task and improve its accuracy and efficiency
Uses algorithms to analyse data and identify patterns or relationships

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8
Q

Advantages of Machine Learning

A

1 Reduces the need for manual work, saving time and effort

#2 Can detect patterns and make predictions more accurately than humans in many cases
#3 Continuously improves performance as it processes more data

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9
Q

Advantages of AI

A

1 Increased efficiency

#2 Increased accuracy
#3 Scalability

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10
Q

Disadvantages of AI

A

1 Job losses

#2 Potential for biased decision making
#3 Ethical concerns over its use

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11
Q

Characteristics of AI

A

Collection of data
Rules for using data
Ability to reason

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12
Q

Advantages of Automated Systems

A

Cost - Long-term cost saving
Safer - Timely interventions
Safer - Keeps humans away from hazardous environments
Efficient - Materials & Resources
Consistent - Results are repeatable

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13
Q

Disadvantages of Automated Systems

A

Cost - Initially expensive to set up
Testing - Significant testing must be done before being used
Security - Open to cyber attacks
Flexibility - Will only react to programmed scenarios
Maintenance - Needs to be well maintained
Unethical - Can result in major job losses

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14
Q

(Automated Systems) Advantages & Disadvantages in: Industry

A

Advantages: #1 Increased production #2 Improved quality control

Disadvantages: #1 High investment costs
#2 Job losses

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15
Q

(Automated Systems) Advantages & Disadvantages in: Transport

A

Advantages: #1 Less accidents & traffic congestion #2 Increased logistical efficiency

Disadvantages: #1Transportation drivers lose jobs #2 Technology reliability

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16
Q

(Automated Systems) Advantages & Disadvantages in: Weather

A

Advantages: #1 Accurate forecasting #2 Improved early warning systems

Disadvantages: #1 Dependence on accurate sensor data

17
Q

(Automated Systems) Advantages & Disadvantages in: Agriculture

A

Advantages: #1 Less manual labour #2 Increased crop yield & resource management

Disadvantages: #1 High start-up costs for equipment and sensors #2 Deskilling farmers

18
Q

(Automated Systems) Advantages & Disadvantages in: Gaming

A

Advantages: #1 Personalised experience #2 AI enhanced opponents add challenge

Disadvantages: #1 Reduced creativity & problem solving for players #2 Repetitive gameplay

19
Q

(Automated Systems) Advantages & Disadvantages in: Science

A

Advantages: #1 Faster & more precise #2 Reduced risk of human error

Disadvantages: #1 High cost development and maintenance #2 Potential for algorithm bias

20
Q

(Automated Systems) Advantages & Disadvantages in: Lighting

A

Advantages: #1 Increased energy efficiency #2 Better security with motion-activated systems

Disadvantages: #1 Lack of human control with light adjustments

21
Q

What is MEANT By mahcine learning capabilities

A

Form of Artificial Intelligence
Edit its own data
Can be trained
Analyses patterns & stores results
(Supervised) Means a user tells the system the input and output
(Unsupervised) Means the system is given the input and needs to work out the output

22
Q

What is meant by AI?

A

Ability of a computer or machine to simulate intelligent human behaviour

23
Q

What are the features of AI?

A

Machine Learning
Ability to Reason
Data Handling
Ability to simulate human behaviour

24
Q

What is meant by Machine Learning

A

Ai systems can learn from data & experience

25
What is meant by Ability to Reason
AI can analyse information, make decisions, and solve problems. It can draw conclusions from available data
26
What is meant by Data Handling
AI collects stores and processes large amount of data. It applies rules or algorithms to make sense of the data
27
What is meant by Ability to Simulate Human Behaviour
AI can mimic intelligent human activities like understanding language, recognising images, or responding to questions