Papers › IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

17 Nov 2019arXiv:1911.07246archive 2025-07-28

Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim

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

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Industrial RobotsReinforcement LearningReinforcement Learning (RL)Robotic Graspingreinforcement-learning

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