RPC: ロボットの計画・制御・展開のためのモジュラー型フレームワーク
RPC: A Modular Framework for Robot Planning, Control, and Deployment
物理シミュレータや計画・制御ライブラリ、デバッグツール、操作インターフェースを統合したオープンソースのモジュラーフレームワークRPCを提案し、マニピュレータや脚ロボットの制御アルゴリズム開発を容易にする。
著者: Seung Hyeon Bang, Carlos Gonzalez, Gabriel Moore, Dong Ho Kang, Mingyo Seo, Luis Sentis
分類: cs.RO
原文アブストラクト
This paper presents an open-source, lightweight, yet comprehensive software framework, named RPC, which integrates physics-based simulators, planning and control libraries, debugging tools, and a user-friendly operator interface. RPC enables users to thoroughly evaluate and develop control algorithms for robotic systems. While existing software frameworks provide some of these capabilities, integrating them into a cohesive system can be challenging and cumbersome. To overcome this challenge, we have modularized each component in RPC to ensure easy and seamless integration or replacement with new modules. Additionally, our framework currently supports a variety of model-based planning and control algorithms for robotic manipulators and legged robots, alongside essential debugging tools, making it easier for users to design and execute complex robotics tasks. The code and usage instructions of RPC are available at https://github.com/shbang91/rpc.
