Autonomous Mobile Robot (AMR) Star Series for the Automotive Industry
Supporting productivity improvement through automation of automobile line transportation.
In the automotive industry, accurate and efficient supply of parts is required for line transportation. Particularly, to prevent production line stoppages and achieve just-in-time parts supply, stable transportation capacity and flexible operation in limited space are crucial. Improper transportation can lead to delays in the production line and damage to parts. The Autonomous Mobile Robot (AMR) Star series addresses these challenges and automates the transportation tasks in automotive production lines. 【Usage Scenarios】 - Supply of parts to the production line - Movement of parts between processes - Transportation of finished vehicles within the factory 【Benefits of Implementation】 - Labor reduction through automation of transportation tasks - Stable operation of the production line and increased productivity - Reduced burden on workers and improved safety
basic information
【Features】 - Capable of transporting heavy loads up to 600kg - High-precision autonomous driving with positioning accuracy of ±3cm - Able to navigate narrow paths with a minimum width of 60cm - High mobility to handle steps and inclines (up to about 8°) - Continuous operation for approximately 8 to 10 hours maximum
Price range
Delivery Time
Applications/Examples of results
For more details, please contact us.
Related Videos
catalog(1)
Download All CatalogsRecommended products
Distributors
We are a trading company that has been supporting manufacturing in the IoT era for 70 years. Our domestic locations include our headquarters in Kyoto (Minami-ku, Kyoto City), a sales office in Nagoya (Meito-ku, Nagoya City), a sales office in Shiga (Ritto City, Shiga Prefecture), a branch office in Akashi (Kakogun, Hyogo Prefecture), and a sales office in Okayama (Kita-ku, Okayama City), as well as two overseas locations in Malaysia and the Philippines.























































