Meeting today’s warehouse automation needs is no easy task.
One of the most important tasks for every fulfillment center, manual or automatic, is the need to get the items from the shelves to the outbound process – and to get there fast.
In the robotic automation world, there are many solutions on the market, from robots that walk side by side with workers just to help carry the items (COBOT), to heavy automation infrastructures like shuttle systems. Each of the solutions out there aims to shorten the time spent picking and get the order ready faster.
Caja Robotics’ solution aims to perform as fast as possible with minimum infrastructure changes so the logistics of the process meet the warehouse’s demands while providing great ROI.
To achieve great order delivery times without having to spend a lot of money on fixed, non-flexible construction, Caja created its state-of-the-art 4D Nav advanced algorithm, managed by our cloud. Navigating in a dynamic environment and finding routes by seeing the whole picture, and not just sections of it, is nothing less than revolutionary compared to traditional AMRS navigation.
Getting there fast in the fulfillment world is much more than getting from point A to B, especially when we consider multi-robot systems being used for replenishment, warehouse optimization, picking, consolidation, and many other processes at the same time. Caja’s solution is built to deliver maximum results in the most optimized manner.
Caja Robotics’ 4D nav
In our 4D navigation system, we consider the two dimensions of the floor and the height of shelves, with time as the fourth critical dimension.
Caja considers the cloud backend as the conductor of the warehouse operations and not only a coordinator. Unlike common solutions for warehouse automation, Caja’s robot navigation is entirely managed by our cloud backend. Instead of giving the robot the route it needs to take from A to B and letting the robot make decisions when it faces a collision with other robots, Caja’s 4D Nav technology predetermines all routes for all robots at every second. That way, it avoids any unplanned loss of speed or even collisions, as it is all taken care of in advance.
4D Nav advantages
Caja’s robot ‘playground’ is an enclosed and human-free environment, allowing for high speed during both inbound and outbound activity. When the option for unplanned obstacles, such as people, is minimized, our robots can reach much higher speeds.
Just think of the difference in speed you can achieve when driving on a highway vs. driving in a pedestrian zone.
When using this kind of route planning, there is no chance for robots to gridlock.
A robot on the shortest route will have to slow down or even stop when driving behind another robot or when it reaches a crossroads with another robot. Therefore, the shortest way is not always the fastest, and looking at the entire picture helps us optimize time for the warehouse operation overall instead of for a single SKU.
Our machine learning algorithms run huge numbers of simulations that are synchronized with logistics and order demands. Caja’s 4d Nav chooses the best of all simulations. Real-life movements are predicted to the second by our simulations and simulations are optimized in the robotic warehouse planning stage, before we even bring the first robot into the warehouse. Planning simulations are run on the backend, just like the real robots, with no margins of error.
Local problems– When there’s a pinpoint problem, such as floor damage or obstacles in the way, the 4D Nav technology runs new simulations, avoiding that specific location and choosing new routes with the fastest navigation and minimal changes to the robots‘ instructions.
Robot/Bin problems– A malfunctioning robot or damaged bin doesn’t put the entire operation on hold, as Caja Robotics’ 4D Nav can close a specific section and route all traffic around it. Once the problem is fixed, the selected area is no longer problematic and will be open for traffic again. We have a rate of 99% automatic full recovery with no human interference.