日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:2504.06819

Developing Modular Grasping and Manipulation Pipeline Infrastructure to Streamline Performance Benchmarking

Developing Modular Grasping and Manipulation Pipeline Infrastructure to Streamline Performance Benchmarking

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著者: Brian Flynn, Kostas Bekris, Berk Calli, Aaron Dollar, Adam Norton, Yu Sun, Holly Yanco

分類: cs.RO

原文アブストラクト

The robot manipulation ecosystem currently faces issues with integrating open-source components and reproducing results. This limits the ability of the community to benchmark and compare the performance of different solutions to one another in an effective manner, instead relying on largely holistic evaluations. As part of the COMPARE Ecosystem project, we are developing modular grasping and manipulation pipeline infrastructure in order to streamline performance benchmarking. The infrastructure will be used towards the establishment of standards and guidelines for modularity and improved open-source development and benchmarking. This paper provides a high-level overview of the architecture of the pipeline infrastructure, experiments conducted to exercise it during development, and future work to expand its modularity.