Tips and tricks to build an autonomous grasping Kuka robot. In this post, I will explain my experience over the course of a year of working with Reinforcement Learning (RL) on autonomous robotics manipulation
In this post, I will explain my experience over the course of a year of working with Reinforcement Learning (RL) on autonomous robotics manipulation. It is always hard to start a big project which requires many moving parts. It was undoubtedly the same in this project. I want to pass the knowledge I gathered through this process to help others overcome the initial inertia.
In the beginning, it was tough for me to judge the difficulty of different components of the problem. I underestimated the effort required for some parts and overestimated others. I will explain how RL can be cumbersome and straightforward to work with at the same time.
The below video shows how our agent can transform the learned policy to different domains and different environments.
The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.
Artificial Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | I have talked about Artificial neural networks and its implementation in TensorFlow using google colab. You will learn: What is an Artificial Neural Network? Building your neural network using Tensorflow.
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Deep Learning Explained in Layman's Terms. In this post, you will get to learn deep learning through a simple explanation (layman terms) and examples.
There has been hype about artificial intelligence, machine learning, and neural networks for quite a while now. This will not be a math-heavy introduction because I just want to build the idea here.