What is the difference between supervised and unsupervised learning for robot navigation?
Robot navigation is the ability of a robot to move from one place to another in a complex and dynamic environment. To achieve this, robots need to learn how to perceive, plan, and control their actions. One of the most popular and powerful methods for robot learning is deep learning, which uses artificial neural networks to learn from data. However, not all data are created equal, and different types of learning require different types of data. In this article, you will learn what is the difference between supervised and unsupervised learning for robot navigation, and how they affect the performance and challenges of robot learning.
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Steven McgoughChampioning Embedded Technology | LinkedIn Top Voice | Passionate about Tech| Sparking Innovation for Future-Ready…
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Abhijit Dalavi??????+ ???????????????? | LLMs | MLOPs | Neuro symbolic vision Models (RAG | LANGCHAIN | GPTINDEX | LLAMAINDEX)
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Wai-keung FungSenior Lecturer in Electronics, Robotics & Control Engineering, Deputy head of EUREKA Robotics Centre, Field Group…