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3 cards from this section. Quick, good the night before a test.
What is Machine Learning (ML) in the context of robotics?
Think about how humans learn from experiences.
Which algorithm is widely used in reinforcement learning?
Recall the learning method that focuses on values associated with actions.
What does Machine Learning enable robots to do?
Consider what happens when robots are programmed vs. learning.
Are behavior-based systems suitable for dynamic environments?
Think about the speed of response in changing situations.
Analyze a scenario where a robot is tasked with sorting objects based on color in a noisy environment. How would the robot's design benefit from using reinforcement learning?
Consider how the robot learns from both correct and incorrect sorting attempts.
A delivery robot must navigate a crowded street. Discuss how both deliberative and behavior-based architectures could be applied in its design.
Think about planning vs. reacting effectively.
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