ASPIRE is a research framework where coding agents iteratively write and refine sensorimotor skills for robot manipulation tasks in simulation and on real robots.
5400PythonApache-2.0Atualizado há 3 dias
RLinf/RPent
An open framework for building embodied agents that use LLM planners, VLA models and memory to run manipulation tasks in simulators and on real robots.
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Recursos principais
- 01Pluggable planners, including Claude Code, Codex and custom planners.
- 02Supports multiple VLA models such as Pi0.5, RLDX-1 and LingBot-VLA.
- 03Runs tasks in LIBERO-PRO, RoboCasa, RoboTwin and RoboDojo simulators.
- 04Provides Franka and dual-Franka real-robot extensions.
- 05Offers interactive CLI control and a live web dashboard.
Casos de uso
- Researching long-horizon robotic manipulation with LLM-guided agents.
- Prototyping embodied agents before deploying them on Franka robot arms.
- Studying continual or reinforcement learning for self-evolving physical agents.
- Benchmarking VLA models across LIBERO, RoboCasa and RoboTwin tasks.
Tópicos
Perguntas frequentes
- O que é RPent?
- An open framework for building embodied agents that use LLM planners, VLA models and memory to run manipulation tasks in simulators and on real robots.
- RPent é gratuito? Qual é a licença?
- RPent é open source sob a licença Apache-2.0. Confira os termos da licença antes de usá-lo em produtos comerciais.
- RPent ainda é mantido?
- Manutenção ativa. O último commit de RPent foi em 16 de out. de 2026.
- Para que posso usar RPent?
- Researching long-horizon robotic manipulation with LLM-guided agents. Prototyping embodied agents before deploying them on Franka robot arms. Studying continual or reinforcement learning for self-evolving physical agents. Benchmarking VLA models across LIBERO, RoboCasa and RoboTwin tasks.
- Onde consigo RPent?
- O código-fonte e as instruções de instalação estão no GitHub: https://github.com/RLinf/RPent
Resumo gerado por IA a partir do README do projeto. As estatísticas do GitHub são atualizadas diariamente.
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