IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
November 17, 2019 ยท Declared Dead ยท ๐ IEEE International Conference on Robotics and Automation
"No code URL or promise found in abstract"
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Authors
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim
arXiv ID
1911.07246
Category
cs.RO: Robotics
Cross-listed
cs.AI,
cs.CV,
cs.LG
Citations
142
Venue
IEEE International Conference on Robotics and Automation
Last Checked
3 months ago
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
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