Practical learning synergies between pushing and grasping based on DRL

• Main Author: Huang, Yuanning
• Other Authors: Wen Bihan
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Robot manipulations; Deep reinforcement learning; Deep Q network
• Online Access: https://hdl.handle.net/10356/175513
• Institution: Nanyang Technological University

This paper focuses on the comparison of performance of the intelligent robot manipulation systems based on different deep reinforcement learning technologies. An ideal strategy for robotic manipulation involves two primary components: non- prehensile actions, such as pushing, and prehensile actions,...