Denso and Toyota Industries Automate Truck Loading at Anjo Plant

Denso and Toyota Industries Begin Automated Truck Loading

On October 26, Denso Corporation and Toyota Industries Corporation announced that they had started automated truck loading and unloading at Factory 204, an inverter production facility at Denso's Anjo Plant in Aichi, Japan. The operation combines Toyota Industries' Rinova Autonomous lift truck with Denso's LiDsEYE high-precision LiDAR technology. Together, the systems automate cargo handling while monitoring safety across the truck yard. The deployment applies automation to logistics operations supporting mass production, with the companies seeking to improve handling accuracy and operational reliability when managing pallets of different sizes.

Rinova Autonomous Automates Cargo Handling

Toyota Industries' Rinova Autonomous lift truck identifies where a truck is parked and determines the positions and orientations of pallets before automatically generating routes for loading and unloading cargo. This capability is designed to automate the movement and handling of goods during truck-yard operations. By generating travel routes from detected vehicle and pallet conditions, the lift truck supports a more automated workflow for transferring cargo. The system is being used in logistics operations connected to mass production at Denso's Anjo Plant, where the companies intend to assess its ability to handle varying pallet sizes accurately and reliably.

Denso LiDsEYE Extends Truck-Yard Safety Monitoring

Denso's LiDsEYE high-precision LiDAR complements the autonomous lift truck by detecting people and obstacles across the truck yard, extending safety monitoring beyond the vehicle's immediate surroundings. This wider detection coverage supports safe operation by identifying when people enter the lift truck's operating area. One stated safety measure is to stop the lift truck when a person enters that area. Combining automated cargo handling with broader environmental monitoring allows the companies to address both operational movement and safety conditions during loading and unloading. The deployment is intended to support reliable logistics work in an environment associated with mass-production activities.

Companies Test Cargo Position and Dimension Detection

Alongside the current automated loading and unloading operation, Denso and Toyota Industries will test technology that uses LiDsEYE to identify cargo positions and dimensions. This work is intended to expand the information available to the logistics system when assessing loads. At present, route generation relies on information captured by cameras mounted on the lift truck. Incorporating additional cargo-position and dimension data could allow the system to account for cargo conditions more directly when planning its movements. The companies have described this integration as a future development rather than a feature already fully implemented in the current operation.

Future Integration Targets Higher Cargo-Handling Productivity

The companies plan to incorporate cargo position and dimension information detected by LiDsEYE into the lift truck's route-generation process. Currently, the route-generation system uses information from onboard cameras, while the planned approach would add cargo data obtained through LiDsEYE. The intended result is to streamline the workflow from assessing cargo conditions to beginning handling operations. Denso and Toyota Industries aim to improve overall cargo-handling productivity through this integration. The announcement does not specify a completion date, quantified productivity target, or deployment schedule beyond the stated plan to develop and test the relevant technology.

Industry Impact & Outlook

The collaboration illustrates how autonomous material-handling equipment and high-precision environmental sensing can work together to address logistics tasks in manufacturing operations. For factories managing mass production, more accurate cargo detection and automated route generation could help streamline truck loading and unloading while maintaining attention to personnel safety. The planned integration of cargo dimensions and positions into routing may further reduce the separation between load assessment and handling execution. However, the extent of any productivity improvement remains unquantified, and the next steps depend on the companies' testing and technology development. The outcome could inform how Denso and Toyota Industries refine automated logistics processes at the Anjo Plant.

Frequently Asked Questions

What have Denso and Toyota Industries automated at the Anjo Plant?
Denso Corporation and Toyota Industries Corporation have begun automated truck loading and unloading at Factory 204, which produces inverters at Denso's Anjo Plant in Aichi, Japan. The operation combines an autonomous lift truck with high-precision LiDAR to automate cargo handling and monitor safety across the truck yard. The system identifies parked trucks and pallet positions to generate travel routes for loading and unloading. The companies are using the technology in logistics operations supporting mass production, with the aim of improving cargo-handling accuracy and operational reliability when working with different pallet sizes.

How does the Rinova Autonomous lift truck work?
Toyota Industries' Rinova Autonomous lift truck detects where a truck is parked and identifies the positions and orientations of pallets before automatically generating routes for cargo loading and unloading. This allows the equipment to plan its movements using information about the truck and the cargo. The system is being used in logistics operations at Denso's Anjo Plant to support mass production. The companies aim to improve handling accuracy and reliability in environments where pallets vary in size, although the announcement does not provide quantified performance results or specific operational benchmarks.

What role does Denso's LiDsEYE LiDAR technology play?
Denso's LiDsEYE high-precision LiDAR detects people and obstacles across the truck yard, providing safety monitoring beyond the autonomous lift truck's immediate surroundings. This broader coverage supports safe cargo-handling operations by identifying people who enter the lift truck's operating area. One measure described by the companies is stopping the lift truck when a person enters that area. LiDsEYE is also being considered for cargo-position and dimension detection. The companies plan to test this capability and potentially use the resulting information to improve the route-generation process in future operations.

How could LiDsEYE improve automated truck loading in the future?
Denso and Toyota Industries plan to incorporate cargo position and dimension data detected by LiDsEYE into the lift truck's route-generation process. Currently, route generation relies on information from cameras mounted on the lift truck. Adding LiDsEYE-derived cargo information is intended to streamline the workflow from assessing cargo conditions to starting handling operations. The companies expect this development to help improve overall cargo-handling productivity. However, the integration is a future plan, and the announcement does not specify when it will be completed or quantify the productivity gains it could deliver.

Where is the automated truck-loading operation being conducted?
The automated loading and unloading operation is taking place at Factory 204, an inverter production facility at Denso's Anjo Plant in Aichi, Japan. The initiative combines Toyota Industries' Rinova Autonomous lift truck with Denso's LiDsEYE high-precision LiDAR. The companies are applying the technology to logistics operations that support mass production, including the handling of pallets of different sizes. Their stated objectives include improving cargo-handling accuracy and operational reliability while monitoring safety across the truck yard. The announcement does not identify additional facilities where the same system has already been deployed.