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HomeRoboticsBrightpick CEO Jan Zizka discusses growth of robot-to-goods system

Brightpick CEO Jan Zizka discusses growth of robot-to-goods system


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Brightpick applies machine imaginative and prescient and AI to robotic choosing. Credit score: Mike Oitzman

The Robotic Report Podcast not too long ago featured a dialog with Photoneo’s Jan Zizka concerning the new BrightPick success resolution that the corporate launched earlier this 12 months. Beneath is an edited transcript of the dialog.

Headshot of Jan Zizka

Jan Zizka, co-founder and CEO of Brightpick. | Credit score: Brightpick

Zizka is the co-founder and CEO of Brightpick and its guardian firm, Photoneo Brightpick Group. He has filed greater than 20 patents, starting from 3D sensing strategies to cellular robotics. Zizka can be a acknowledged skilled within the fields of synthetic intelligence, machine imaginative and prescient, and warehouse automation.

Photoneo’s clients embody Normal Motors, Volkswagen, and KUKA. Earlier than co-founding that firm, Zizka was a analysis engineer at Micro-Epsilon, a number one sensor producer. 

He earned a Ph.D. in laptop imaginative and prescient from Comenius College, throughout which he additionally did analysis on computational cameras and optics on the Massachusetts Institute of Know-how.

What’s Brightpick? What forms of market functions or particular warehouse workflows is it designed for?

Brightpick is a spinoff from Photoneo. The answer leverages the 3D notion and robotic choosing expertise that’s the core of Photoneo. It’s a warehouse automation resolution particularly designed for order success and concentrating on completely different verticals like e-grocery, third-party logistics, and e-commerce.

The Brightpick resolution is optimized to deal with smaller objects like small electronics, grocery objects, and comparable objects that may be saved in bulk in stock totes. 

Describe the everyday success workflow for a Brightpick autonomous cellular robotic (AMR).

The Brightpick AMR travels by way of the warehouse because it builds one discrete order just like a human picker. The warehouse stock must be organized right into a set of totes and the person objects should be “toteable.”

Leveraging an onboard cellular manipulator, the eaches choosing is finished immediately from the majority stock totes pulled from the shelf whereas the BrightPick AMR is stationary within the warehouse aisle.

What typical measurement of totes can Brightpick deal with?

We prefer to have one uniform-size tote for the warehouse. The popular totes are normally 60 by 40 cm [23.6 by 15.7 in.], and the peak of the tote might fluctuate, relying on the objects saved. The totes will be break up into a number of compartments. The storage necessities depend upon the order frequency of various objects. Area utilization is vital, and having compartmentalized totes helps to enhance the effectivity of the answer.

wide angle view a warehouse with multiple Brightpick Picker AMRs running around pulling order items. | Credit: Brightpick

Brightpick picker AMRs traverse the warehouse to tug particular person objects for buyer orders. | Credit score: Brightpick

What was the design course of and the “Aha” second for the Brightpick resolution? Photoneo’s energy is in 3D imaginative and prescient, 3D notion, and robotic imaginative and prescient steering, particularly for functions like bin choosing.

Through the years, we’ve got been learning how basically troublesome success is, and we determined it’s a large enough drawback to be solved. We made this robotic from the bottom up using all of the Photoneo applied sciences into Brightpick.

We already had the entire obligatory capabilities to perform this troublesome process. Beginning with our 3D cameras, over time, we developed our machine studying engine.

In grocery, we are able to choose round 80% of things that we see from the tote. We prefer to name it “absolutely automated success,” which isn’t fully true, however our definition of absolutely automated success is in precept that we are able to automate 95% of the complete course of. 

What are a number of the points that you just’ve needed to resolve for this new automated workflow for success?

Orchestrating the robotic is a troublesome drawback. We use particular algorithms within the classical “touring salesman drawback” to ship the person robots out for every SKU-picking process. If it will be only one robotic, it will be easy.

One of the vital complicated issues we’re fixing is one thing we name time-space planning. When you have got a fleet of robots, every robotic might simply resolve a touring salesman drawback individually, however right here we’ve got to orchestrate the robots as a fleet.

One concern we’ve got is that the robots may be competing for a given aisle, or perhaps a given SKU, and we’ve got to keep away from that. So it is a tremendous complicated drawback. Because the robots journey by way of the warehouse, we’ve got to plan their paths, plan the choosing dwell occasions, and negotiate conflicts the place two robots need to be in the identical place on the identical time.


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There are another robots in the marketplace, like InVia’s AMRs, which pull stock totes from a shelf and transport them to an item-picking location, then return the stock to the warehouse shelf. Is that this just like an automatic storage and retrieval system (ASRS)? Do you categorize Brightpick as an ASRS-type system?

I’d categorize the InVia resolution as a goods-to-person [G2P]-type resolution, like Kiva Programs. The opposite rising class is “robots to items,” and perhaps that’s the proper class for Brightpick.

With the Kiva-like options, the robots have to maneuver bulk objects lengthy distances simply to select a single SKU for a buyer order. However an important half is that the robotic has to convey this tote again to its long-term storage location within the warehouse. So bulk objects are constantly moved to the picker, again to the stock location, and again to the picker, and so forth. 

So we imagine that the BrightPick resolution basically and mathematically requires 40% to 50% or much less journey. And that signifies that you possibly can have fewer robots deployed on the ground. Our objective is to create a super-efficient system. We’ve to attain these efficiencies.

Autopicker pulls bulk item totes from the warehouse shelf to singulate individual customer items

The Brightpick Autopicker AMR pulls bulk merchandise totes from the warehouse shelf to singulate particular person buyer objects. | Credit score: Brightpick

Brightpick makes use of a SCARA manipulator to select and place particular person objects from totes. Why a SCARA robotic versus a six-axis manipulator?

Perhaps this isn’t the attention-grabbing reply, nevertheless it comes all the way down to price. We made a trade-off between the complexity of AI and algorithms and the price of the manipulator. The selection to make use of a SCARA manipulator for choosing signifies that the AI, gripper, and algorithms behind it are extra complicated for the bin-picking operation.

It took us just a few years, and we designed round 200 grippers with completely different variations and completely different tips. What we ended up with is one thing that could be a good stability between complexity, price, and capabilities.

At present, we can’t be 100% assured of choosing each merchandise, however then no resolution can. I believe people can nonetheless function a fallback resolution by participating a close-by affiliate to assist choose an merchandise. I might say for patrons, end-to-end reliability is far more vital than the truth that you may choose like 99.9% of the objects.

Do you employ a single gripper for all of the objects, or are you doing a instrument change for various sorts of components?

We’ve we’ve got each ideas. We do a variety of completely different gripper ideas together with a number of suction cups, gripper exchangers, and suction-cup exchangers.

So all of that is potential. It appears like not each warehouse requires such flexibility. Finally, we are going to find yourself with one thing like a gripper exchanger with two or three fingers.

So that you outlined this new section a couple of minutes in the past as a “robot-to-goods” resolution. What makes this kind of system viable now? 

The robotic you see right here might be the fifth era. It’s not designed to do 50 various things; it’s not like a general-purpose humanoid. However, what we’ve got performed is optimize the price of every component of the robotic to cut back the price of the required performance.

I’m tremendous pleased with what our crew was capable of do on the {hardware} design facet and with procurement. 

screenshot of the Brightpick fleet management software.

Brightpick contains software program and optimization algorithms to manage materials circulate and the operation of the entire particular person robots on the warehouse flooring. | Credit score: Brightpick

Bin choosing with cellular manipulation has been a “holy grail” drawback. Is there a breakthrough on this design that you just’re notably pleased with?

It comes all the way down to a holistic view of all of those newest developments in synthetic intelligence. You must have the proper gripper, the proper path planning, the proper AI, and the proper idea. Every thing must be good. And if one half is lacking, out of the blue, it’s not possible. 

On the AI facet, this was not potential 5 to 6 years in the past. The intense breakthroughs allow machine studying to generalize to unseen objects. I believe that that is so highly effective. That is just the start.

For instance, IAM Robotics struggled for years to make cellular manipulation viable. Why do you assume its method wasn’t profitable? 

I believe it’s in all probability two issues. First, should you purchase a six-axis robotic from a significant provider, you will get an excellent product. However the worth is prohibitive. I believe there’s merely no method you could make it occur as we speak. 

Second, IAM Robotics was choosing immediately from cabinets. That is complicated a really expensive replenishment course of. Our replenishment resolution is to only dump it into the tote. 

Replenishment in our system might be like 5 to 6 occasions extra environment friendly as a result of robots will slot a given tote into the proper place within the warehouse. We try to research the frequency at which objects are picked to prepare the place objects ought to go on the shelf.

You’ve constructed an algorithmic success heatmap of frequent objects. Are you continuously reorganizing the warehouse to make it extra environment friendly for the robots to tug objects?

Sure, precisely. In classical G2P programs, it’s essential reduce the gap it’s essential journey with the robots. So shifting high-frequency SKUs nearer to the human pickers could be very apparent right here.

With these older G2P robots, they’re all equal, standalone, and self-sufficient. All of the robots can do all of the processes. They’ve their trajectories.

It’s not so apparent now to ask: “Do I need to create a hotspot someplace?” In all probability not, as a result of I can steer too many robots to the identical aisle or identical spot, and this congestion creates a brand new drawback.

You must by some means stability in an enormous warehouse, between shortening distances and spreading these objects out too far. It’s a key optimization drawback.

image of a brightpick autopicker in a warehouse aisle.

The Brightpick Autopicker is designed for slim aisles. | Credit score: Brightpick

Do you allow area within the aisles for two-way visitors to keep away from potential collisions or path conflicts?

Two years in the past, many of the aisles have been one-way. At present, nearly all of them are two-way. With robust planning algorithms, we are able to resolve the paths for the robots to keep away from potential conflicts within the aisles.

We strive solely to have one robotic in every aisle at a time. However this time-space planning drawback is a tough drawback to unravel. There are a number of ranges to it. However security with robots and collaborative manipulators is essential. 

Are you able to share a few of your early buyer deployments?

Our greatest buyer as we speak is Rohlik Group, one of many fastest-growing e-grocers in Europe. These are massive orders and principally ambient objects. We’re deploying a calming section within the upcoming weeks.

Grocery could be very attention-grabbing. In the event you think about your loved ones shopping for 100 objects per week, that’s a variety of picks per order. In the event you evaluate that to different e-commerce, it might be that groceries are greater than the complete e-commerce section. I believe groceries are one in every of our high targets. 

We’re ending a brand new deployment for a pharma shopper. On this use case, it’s a variety of smaller packing containers and a excessive variety of SKUs. Once we have been designing the Brightpick system, this was one thing that we had in thoughts.

When an software, we take a look at the variety of picks per line. For instance, should you ask me for an software having 100 objects per line, meaning a variety of picks for the given SKU.

Sure, that’s in all probability not optimum, and no human is far quicker. We’ve been counting 100 objects, you’ll nonetheless do it 5 occasions faster than the robotic. We’re all the time looking for one of the best match so as profile.


Hearken to the interview in its entirety right here:



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