The role of Deep Reinforcement Learning in motion planning for robotic arm assistive systems

In the past decade, progress in robotics and AI has revolutionized in many areas, increased productivity and new opportunities. These technologies have become crucial in areas such as production, automation, food processing and pharmaceutical industry. In addition, AI is opening new possibilities to help people with disabilities, especially in robotics and healthcare. This study searches for the use of a depth of vision to guide robotic fingers to perform various tasks, offering an innovative way of completing freedom and complete daily activities without assistance.

کلیدواژه ها:

Algorithm ، Assistive Robots ، Deep Reinforcement Learning ، Path Planning