Published:
Reinforcement Learning (RL) is a subtopic in Artificial Intelligence, which uses a more organic learning approach. It is vastly different from traditional Machine Learning and Deep Learning, which are dependent on swaths of highly prepared data. In contrast, RL models learn primarily through simulation and experience, much like humans. This article covers the very basic concepts used across RL topics.
Published:
Segmentation is a popular vision problem that is concerned with analysis and object or scene understanding of the contents of a given input scene. Most commonly, this is used with images, but segmentation can also be performed on a range of datatypes such as videos or 2D and 3D point clouds. The ability of segmentation models to detect objects and identify their location makes these models incredibly useful in projects involving autonomous machines and mapping and localization.
Published:
Occupancy grid maps are a type of representation of an environment, and is commonly used by mobile robots for tasks such as path planning, localization, tracking, and many more. This article is an introduction to occupancy grid maps.
Published:
The Robot Operating System (ROS), in short, is a communication tool used in robotics to facilitate transfer of messages or data in a multi-device system. In this article, I go through the very basics of ROS and how to get started with it.
Published:
Docker is a useful tool widely used today to facilitate software development and shipping code. This article covers a comprehensive overview of docker containers and how to use them.
This is some sample content that goes here with Markdown formatting.
This is some sample content that goes here with Markdown formatting.
This is some sample content that goes here with Markdown formatting. Left aligned with type="left"
This is some sample content that goes here with Markdown formatting. Right aligned with type="right"
This is some sample content that goes here with Markdown formatting. Centered with type="center"
