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How could machine learning make a robot autonomous?
Suggested Answer: D
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Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, 'Robotics', p.98. [2] APMG-International.com, 'Foundations of Artificial Intelligence' [3] EXIN.com, 'Foundations of Artificial Intelligence'
11 comments · newest first
BO
Bok
11 months ago
A seems kinda off for autonomy, right?
TR
Trinidad
11 months ago
C is interesting, but it’s not enough on its own.
DO
Dorothy
12 months ago
Wait, can robots really learn like that? Sounds wild!
LI
Linn
1 year ago
I think B is super important too, though!
AD
Adelina
1 year ago
D is the way to go! Learning from data is key.
KI
Kiley
1 year ago
I keep mixing up OCR and NLP; I don't think those directly lead to autonomy, but I'm not completely confident.
LA
Lashawnda
1 year ago
I think we practiced a question about how robots interact with their surroundings, and D was the answer there as well. It makes sense!
LO
Lovetta
1 year ago
I'm not entirely sure, but I feel like using actuators to modify the environment could be part of it too. Maybe C is relevant?
MA
Mable
1 year ago
I remember we discussed how learning from sensor data is crucial for autonomy, so I think D might be the right choice.
DY
Dyan
1 year ago
I'm feeling pretty confident about this one. The solution of creating an entity for "cost" and retraining the model seems like it should do the trick. As long as I implement that properly, I think I can nail this question.
JA
Jacquelyne
1 year ago
This looks like a tricky one, but I think I can handle it. Let me think through the key steps here.