Toyota DLS

Toyota logistic design competition winner named drone logistic system

Toyota Logistic design competition winner

Award winning proposal for Toyota logistic design global competition. Assignement was to create whole new archetype of forklift solving most commont problems in warehouse logistics. From 500 proposals submitted to the event we were honored to received 2nd place and also 1st place in special public prize. DLS concept is autonomous drone forklift used for repetitive tasks in warehouses where necesary human driver long-term concentration is chalanged and commonly leads to expensive accidents.

Award winning design concept of autonomous drone forklift used in werehouses

Every pallet has its own database profile with code, registered at the facility server, by which the drone can recognize cargo type and time schedule assigned to the pallet.

gravity center during transportation
SLIDER ALLOWS THE DRONE TO REACH PALLETS IN STANDARD SITUATIONS.
gravity center during transportation

Second main goal of the design was to achieve better management of human resources. DLS aims to use human labour only in the special event of loading or unloading of cargo, if needed. DLS is designed for large warehouses with a prospectt of streamline logistic process.  It respects the tendency for automation as an investment, leading to economic benefit for the companies. DLS could be also used for long distance transportation  processes of small individual orders as a part of public transport. DLS meets all the necessary conditions for proper homologation -i.e. light at every corner of the vehicle and wheels capable of riding on standard roadway.

“The most of the accidents don’t happen during the loading or unloading, but during the transporting the cargo”.
AUTONOMOUS DRONE FORKLIFT FOR LARGE WAREHOUSES AND INDUSTRIAL FACILITIES

Our idea is to manufacture new archetype of material handling vehicle whose centre of gravity changes minimally. That will save a lot of energy which is spent by transporting weight balance along with the cargo itself. Another important goal is physical and visual stability, therefor the vehicle is very low. Thanks to the “U” type architecture the drone can embrace the cargo by its own chassis and fasten it for safer transportation. Thus the drone can drive much faster and has such better driving properties.

Every pallet has its own database profile with code, registered at the facility server, by which the drone can recognize cargo type and time schedule assigned to the pallet.

“The most of the accidents don’t happen during the loading or unloading, but during the transporting the cargo”.

Our idea is to manufacture new archetype of material handling vehicle whose centre of gravity changes minimally. That will save a lot of energy which is spent by transporting weight balance along with the cargo itself. Another important goal is physical and visual stability, therefor the vehicle is very low. Thanks to the “U” type architecture the drone can embrace the cargo by its own chassis and fasten it for safer transportation. Thus the drone can drive much faster and has such better driving properties.

Second main goal of the design was to achieve better management of human resources. DLS aims to use human labour only in the special event of loading or unloading of cargo, if needed. DLS is designed for large warehouses with a prospectt of streamline logistic process.  It respects the tendency for automation as an investment, leading to economic benefit for the companies. DLS could be also used for long distance transportation  processes of small individual orders as a part of public transport. DLS meets all the necessary conditions for proper homologation -i.e. light at every corner of the vehicle and wheels capable of riding on standard roadway.

charging station for autonomous forklift utility vehicle with built-in 360° wheel rotation and auto balancing hydraulic system

Standard forklift has a huge amount of weight in the rear of the vehicle to balance the cargo. Its centre of gravity is very high and  rapidly changes between the loaded and the unloaded stage. This fact presents disadvantage for the driving characteristics and makes the vehicle unstable and slow. Good range of vision is needed for the human operator. In the conventional forklift archetype, a lot of power is consumed by transport of the necessary weight balance. And a swift warehouse operation requires many employees. Drone-based logistic system doesn’t have any of those disadvantages. The drone is navigated by a grid, implemented in the floor and operated from the main server. Every pallet has its own database profile with code, registered at the facility server, by which the drone can recognize cargo type and time schedule, assigned to the pallet.  Database system  locates the closest automated guided vehicle.The system is much more efficient and accurate than the traditional method of having human workers travelling around the warehouse locating and picking items.

Hydraulics can extrude the battery to change gravity centre for the safety needs of the Drone.

The battery as the main weight balance works well in every phase of cargo handling. Stability would be maximized by mounting the battery on a telescopic system, due to the ability of adaptive balance compensation. Thereby the sum of weights of the battery and the cargo would stay in the centre of DLS chassis.

CHARGING SERVICE
Station

Standard forklift has a huge amount of weight in the rear of the vehicle to balance the cargo. Its centre of gravity is very high and  rapidly changes between the loaded and the unloaded stage. This fact presents disadvantage for the driving characteristics and makes the vehicle unstable and slow. Good range of vision is needed for the human operator. In the conventional forklift archetype, a lot of power is consumed by transport of the necessary weight balance. And a swift warehouse operation requires many employees. Drone-based logistic system doesn’t have any of those disadvantages. The drone is navigated by a grid, implemented in the floor and operated from the main server. Every pallet has its own database profile with code, registered at the facility server, by which the drone can recognize cargo type and time schedule, assigned to the pallet.  Database system  locates the closest automated guided vehicle.The system is much more efficient and accurate than the traditional method of having human workers travelling around the warehouse locating and picking items.