pkg.sopackage field notes

brew / 排名 6006

使用 Homebrew 安装 ompl

查看 ompl 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install ompl

provider-native install command

概览

软件包摘要

Open Motion Planning Library consists of many motion planning algorithms

命令和别名

  • ompl_benchmark_statistics.py

历史

项目历史与用法

The Open Motion Planning Library is a reusable collection of sampling-based motion-planning algorithms for robotics. It deliberately leaves collision checking and visualization to integrations, allowing the planning core to serve many robot types and software stacks.

项目历史

OMPL's official license carries Rice University copyright beginning in 2010, and the project's public GitHub repository dates to May 2014. Releases on GitHub extend from at least the 1.3 series in 2017 through the 2.0 series in 2026.

采用历史

The official site says OMPL is the default planning library in MoveIt and documents use with mobile manipulators, car-like systems, drones, underwater vehicles, and NASA's Robonaut2. It also highlights a Delft team that used an OMPL-and-MoveIt pipeline to win the 2016 Amazon Picking Challenge. The supplied package metadata records Homebrew, Debian, Ubuntu, and MacPorts distribution.

使用方式

Researchers and robotics developers embed OMPL's C++ APIs or Python bindings, define state spaces and planning problems, select or let OMPL select a planner, and use its benchmarking facilities to compare algorithms. The project provides a primer, tutorials, demos, API documentation, and integration guidance.

为什么软件包爱好者会关心

OMPL packages a broad planner catalog behind abstract state-space and problem interfaces instead of binding itself to one robot framework. Its availability in general-purpose operating-system package managers, plus its role inside MoveIt, makes it a foundational library package rather than a standalone end-user application.

时间线

  • 2010: Earliest year in the official Rice University copyright notice.
  • 2014-05: Official GitHub repository created.
  • 2016: Delft team won the Amazon Picking Challenge using OMPL through a MoveIt-based pipeline.
  • 2017-10: OMPL 1.3.1 published in GitHub releases.
  • 2026-04: OMPL 2.0.0 published.
  • 2026-06: OMPL 2.0.1 published.

Related projects

  • The official site positions MoveIt as the recommended path for ROS users and documents integrations with VAMP and Pinocchio. Planner Arena is the companion surface for interactively exploring benchmark results.

来源

安全态势

尚未找到受保护工具覆盖

没有找到 ompl 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
ompl_benchmark_statistics.py可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本2.0.1
管理器更新时间2026-07-23
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:ompl
版本2.0.1
软件包管理器Homebrew
主页https://ompl.kavrakilab.org/
仓库https://github.com/ompl/ompl
最后更新2026-07-23T01:37:50Z
Pulseupdated
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Nucleus package database
  • curated package history