
KUKA Load: Load data analysis for industrial robots | KUKA AG
KUKA Load is the solution: the web-based service is used to evaluate the loads on a KUKA robot. Determine your optimum payload now to ensure smooth production. To access KUKA Load, all you need is a user account in our my.KUKA customer portal. Customized payload data, including mass, center of mass, and inertias, can be entered when analyzing.
KUKA Load data determination
Determination of the exact tool data by means of pendulum motion of the tool/component. Comprising: Working time on site. Note: Excluding travel time and expenses
KUKA Load | KUKA AG
KUKA Load 就是其解决方案:基于网络的服务可用于评估 KUKA 机器人上的负载。 根据负载、作用范围和其他相关筛选条件迅速对 KUKA 数以百计的、可供货的工业机器人库存进行分类。 您只需在我们的 my.KUKA 客户门户网站中创建一个用户帐户即可访问 KUKA Load。 成功注册 my.KUKA 后,您可以访问诸多应用功能。 您的账户通过验证后,您还将收到为您量身定制的信息和优惠。 此过程旨在提高您个人登录的安全性,可能需要几天时间。 可以在分析时输入客户 …
Download Center - KUKA AG
Visit our digital knowledge database KUKA Xpert to obtain KUKA product specifications and CAD data. Create your personal my.KUKA account and gain access to all product-specific information and software downloads free of charge.
KUKA KUKA Load
KUKA Load is a web-based service for evaluating the load on a given KUKA robot. The user enters the load data and receives a result concerning whether the robot may be operated with these loads. KUKA Load can also be used to select suitable robot types for specific loads or to receive specific suggestions.
KUKA.Load Pro 5.0
KUKA.Load Pro is a software product for evaluating the load on a given KUKA robot. The user enters the load data and receives a result concerning whether the robot may be operated with these loads. KUKA.Load Pro can also be used to select suitable robot types for specific loads.
下载中心 - KUKA AG
在KUKA下载中心,您能找到我们产品的CAD数模, 软件包、技术参数说明等。 可供免费下载。
KUKA机器人之Load data determination计算负载数据的应用分析
2020年6月20日 · KUKA机器人之Load data determination计算负载数据的应用分析 2020-06-20 16:14 来源: 机器人及PLC自动化应用 进入摇负载界面:依次点击“ Start-up”(投入运行)、“Sevice”(售后服务)、“Load data determination”(计算负载数据)
GitHub - fmeier/kuka-data: kuka dataset that was used in the …
This basically shows how well we can do on a specific batch of data, after adapting to it incrementally. On the Kuka_sim data we have no offline training phase and just start with incremental training, here we have held out some data to test on during the incremental learning process - the test data in this case has been randomly sampled from ...
The data can be determined quickly and easily using KUKA.LoadDataDeter-mination. This is done by carrying out certain measurement motions with a load mount-ed on the robot and recording the currents resulting from the axis motor torques. These …