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NEC Digital Robot Planning SolutionScheduled to be productized by the end of 2024

Automatically generates optimal motion plans which allow multiple robots to mutually cooperate and efficiently accomplish complicated single task.

Background

In recent years, manufacturing plants and logistics warehouses have been required to achieve both productivity and handling small-quantity and wide-variety production.
To improve productivity, experienced robot experts have to realize automation for each product, taking lots of time for system tuning. On the other hand, it is necessary to limit adaptation time for product model change to handle the small-quantity and wide-variety production.It has been  difficult to achieve both these goals.

Although these issues have been difficult to solve with conventional solution, there is a possibility to overcome them using AI and digital technology. NEC’s AI can explore extensive digital space quickly and set the system in shorter time, considering also the best setting condition. Until now, such kind of know-how has been acquired through huge trial and error by engineers.

The production system with our AI can realize both high productivity and small-quantity & wide-variety production simultaneously. NEC Digital Robot Planning Solution is especially valuable in highly challenging robot application sites where multiple robots work together, mutually collaborate and accomplish a single task.

NEC Digital Robot Planning Solution Overview

NEC Digital Robot Planning Solution automatically generates efficient motion plans which allow multiple robots to mutually cooperate and accomplish complicated single task.

Until now, skilled experts have manually created the motion plans for multiple robots through the process called teaching. This task is very complicated and requires huge cost to design a series of the motion plans to manufacture one product. So it’s difficult to use multiple robots for small-quantity and wide-variety production.

Our solution replaces conventional manual robot teaching work by the robot experts and automatically generates more efficient motion plans in a short time. This enables efficient operations with multiple robots at the manufacturing and logistics sites and leads further improvement of productivity.

Features

Features

Automatically generates motion plans based on the product data

AI automatically generates the motion plans for multiple robots to work together, considering about product’s shape and collisions with other robots.


Creates more efficient motion plans compared to human trial and error *1

AI explores much wider range of options than human in short time and be able to set the system in more efficient way which can optimize cycle time.


Creates motion plans in short time

By generating motion plans for multiple robots in shorter period than human, this solution can reduce the required time to switch systems according to product variety and enable small quantity and wide variety production.

Use Cases

This solution is useful in a variety of the manufacturing and logistics situations where multiple robots are utilized.

Welding processes

Welding processes

Painting processes

Painting processes

Assembly processes

Assembly processes

For those considering the efficient use of multiple robots.

NEC Digital Robot Planning Solution automatically generates efficient motion plans which allow multiple robots to mutually cooperate and accomplish complicated single task. In principle, it can be applied to robots from various vendors.
Our solution is designed for those who would like to improve productivity in usage of multiple robots and those who would like to automate small-quantity and wide-variety production and so on.
Please contact us for further information.


News


  • 1) The possibility of reducing cycle time depends on the customer's application. Depending on the tuning status of the application or the customer's system, it may not be possible to reduce the cycle time.
  • 2) Part of this solution utilizes the achievements of the entrusted research (01201) by National Institute of Information and Communications Technology.