IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

Abstract

The IKEA Furniture Assembly Environment is one of the first benchmarks for testing and accelerating the automation of complex manipulation tasks. The environment is designed to advance reinforcement learning from simple toy tasks to complex tasks requiring both long-term planning and sophisticated low-level control. Our environment supports over 80 different furniture models, Sawyer and Baxter robot simulation, and domain randomization. The IKEA Furniture Assembly Environment is a testbed for methods aiming to solve complex manipulation tasks. The environment is publicly available at https://clvrai.com/furniture

Publication
arXiv:1911.07246 [cs]
Zhengyu Yang
Zhengyu Yang
Research Assistant

Research Assistant. Major in Computer Science and Applied Math.

Related