HorizonRobotics/RoboOrchardLab

HorizonRobotics-Profil

Letzte erfasste Quellaktivität: 24. September 2026 um 09:36

SkillsMP-Katalog aktualisiert: 26. Oktober 2026 um 11:37

gesammelte Skills: 8

GitHub-Stars: 176
GitHub-Forks: 36

README des Repositorys

README-Quelldatei: README.md

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# RoboOrchardLab [![Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://docs.python.org/3/whatsnew/3.10.html) [![Linux platform](https://img.shields.io/badge/platform-linux--64-green.svg)](https://releases.ubuntu.com/22.04/) [![License](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](https://github.com/HorizonRobotics/robo_orchard_lab/blob/master/LICENSE) [![Documentation](https://img.shields.io/website/http/huggingface.co/docs/transformers/index.svg?down_color=red&down_message=offline&up_message=online)](https://horizonrobotics.github.io/robot_lab/robo_orchard/lab/index.html) **RoboOrchardLab** is a python package that provides a modular and extensible framework for training and evaluating embodied AI algorithms. It is part of the **RoboOrchard** project, which aims to support the full lifecycle of robotics research and development. The goal of **RoboOrchardLab** is to create a unified and flexible architecture that allows researchers and developers to easily compose and customize their training pipelines, while also providing model components, datasets, and evaluation metrics that are specifically designed for embodied AI tasks and research. ## Core Features - **Modular Training Framework**: We provide a highly modular training framework that allows you to easily compose and customize your training pipelines. For example, you can easily add or change the implementation of model updates, training monitors or other components to suit your specific research needs without changing the overall training pipeline. - **Efficient Distributed Training**: This project is designed to work seamlessly with the Hugging Face ecosystem (Accelerate, Datasets, etc), enabling efficient distributed training across multiple GPUs and nodes. This allows you to scale your experiments and leverage the power of modern hardware. - **SOTA Embodied AI Algorithms**: Access an expanding suite of state-of-the-art (SOTA) algorithms. Initial support focuses on advanced perception, with intelligent grasping policies and end-to-end Vision-Language Action (VLA) models being actively developed and planned for near-future releases. Longer-term, we aim to integrate broader manipulation and whole-body control capabilities. - **Open Community**. **RoboOrchardLab** is an open-source project, and we warmly welcome developers and researchers from academia and industry to join us. Contribute code, share models, improve documentation, and let's advance embodied intelligence technology together. ## License **RoboOrchardLab** is open-source and licensed under the [Apache License 2.0](https://github.com/HorizonRobotics/robo_orchard_lab/blob/master/LICENSE). If you are interested in contributing, please reach out to us.

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Skills in diesem Repository

Softwarequalitätssicherungsanalysten und -tester Softwareentwickler

2 Berufskategorien · 88% klassifiziert

Skill

Beruf

Beschreibung

Aktualisiert

changeset-codereview

nicht klassifiziert

Review a commit, branch diff, staged diff, working tree diff, patch, or file set for validated high-signal bugs and scoped guidance violations in a local changeset review.

Quellsprache: Englisch

2026-09-24

codereview-family

Softwarequalitätssicherungsanalysten und -tester

Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests. Route to PR/MR review, local changeset review, or architecture review based on the review target and intent. Do not use for routine…

Quellsprache: Englisch

2026-09-24

code-reviewer

Softwarequalitätssicherungsanalysten und -tester

Reviews code for bugs, logic errors, security vulnerabilities, code quality issues, and adherence to project conventions, using confidence-based filtering to report only high-priority issues that truly matter.

Quellsprache: Englisch

2026-08-12

feature-dev

Softwareentwickler

Guided feature development with codebase understanding and architecture focus. Use when implementing a non-trivial feature that benefits from structured discovery, exploration, architecture comparison, implementation, and review.

Quellsprache: Englisch

2026-08-12

architecture-review

Softwarequalitätssicherungsanalysten und -tester

Review local code, diffs, modules, directories, or design changes for consequential architecture issues when the user explicitly asks for architecture review, when an upstream review routes architecture-sensitive scope here, or when the current…

Quellsprache: Englisch

2026-07-15

prmr-codereview

Softwarequalitätssicherungsanalysten und -tester

Review a GitHub PR or GitLab MR when the task is a PR/MR review or comment flow. Use this skill for PR/MR-specific transport, metadata, and comment workflows.

Quellsprache: Englisch

2026-07-15

code-architect

Softwareentwickler

Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create or modify, component designs, data flows, and build sequences.

Quellsprache: Englisch

2026-03-23

code-explorer

Softwareentwickler

Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development.

Quellsprache: Englisch

2026-03-23

Es werden 8 von 8 gesammelten Skills angezeigt.

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