Using Reinforcement Learning to Build a Self-Learning Grasping Robot

Using Reinforcement Learning to Build a Self-Learning Grasping Robot

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.

reinforcement-learning artificial-intelligence computer-vision deep-learning openai neural-networks self-learning auto-robotic-manipulation

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