Manipulator Motion Planning Benchmark
收藏arXiv2023-02-28 更新2024-06-21 收录
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资源简介：
Manipulator Motion Planning Benchmark是由德国Chemnitz University of Technology的机器人与人类机器交互实验室创建的一个用于机械臂运动规划的基准数据集。该数据集包含20个不同复杂度的环境，共214个规划问题，旨在通过模拟真实世界的复杂场景来测试和优化运动规划算法。数据集的创建过程涉及对不同环境下的机器人配置进行详细规划，确保数据集的多样性和实用性。该数据集主要应用于解决机械臂在复杂环境中的运动规划问题，提高规划效率和准确性。
Manipulator Motion Planning Benchmark is a benchmark dataset for robotic manipulator motion planning, developed by the Robot and Human-Machine Interaction Laboratory at Chemnitz University of Technology in Germany. It contains 214 planning problems across 20 environments with varying complexity levels, aiming to test and optimize motion planning algorithms by simulating complex real-world scenarios. The creation of this dataset involves detailed planning of robot configurations across various environments, ensuring its diversity and practicality. This dataset is primarily used to solve motion planning problems for robotic manipulators in complex environments, improving planning efficiency and accuracy.
提供机构：
机器人与人类机器交互实验室
创建时间：
2023-02-28
