Summary of Learning to Build by Building Your Own Instructions, By Aaron Walsman et al.
Learning to Build by Building Your Own Instructions
by Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox
First submitted to arxiv on: 1 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO)
GrooveSquid.com Paper Summaries
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The new technique developed in this paper tackles the Break-and-Make problem in LTRON by creating an agent that can build a previously unseen LEGO assembly using a single interactive session. The agent, called ours, disassembles the assembly and saves images to create a visual instruction book, allowing it to reason about the assembly process one step at a time. This approach enables training on larger LEGO assemblies than before. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper’s main idea is to help artificial intelligence understand complex visual objects by teaching an agent to build a LEGO assembly using only one session of information gathering. The agent creates its own instructions and can learn from mistakes. To test this, the researchers created a new dataset with many LEGO vehicles that need to be disassembled and reassembled. |
