Robots can learn more than just following programmed instructions. This infographic from Unidata explores how machines develop new skills through three approaches: reinforcement learning, imitation learning, and supervised learning.

From practicing movements on uneven terrain to learning tasks from human demonstrations and recognizing everyday objects, each method solves a different challenge. Human analogies make these concepts easier to understand, while practical examples show where each approach is useful.

The infographic also highlights the difference between rule-based automation and learning-based robotics, explaining how multiple methods can work together to help robots adapt to real-world tasks.

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How Robots Learn: Three Methods, Modeled on Human Learning

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David Wallace

David Wallace is a search & social media marketer who lives in Ahwatukee Arizona with his lovely wife. Interests & hobbies include all things Disney, roller coasters, musicianship and Christianity.