Tag Archives: robots
#439353 What’s Going on With Amazon’s ...
Amazon’s innovation blog recently published a post entitled “New technologies to improve Amazon employee safety,” which highlighted four different robotic systems that Amazon’s Robotics and Advanced Technology teams have been working on. Three of these robotic systems are mobile robots, which have been making huge contributions to the warehouse space over the past decade. Amazon in particular was one of the first (if not the first) e-commerce companies to really understand the fundamental power of robots in warehouses, with their $775 million acquisition of Kiva Systems’ pod-transporting robots back in 2012.
Since then, a bunch of other robotics companies have started commercially deploying robots in warehouses, and over the past five years or so, we’ve seen some of those robots develop enough autonomy and intelligence to be able to operate outside of restricted, highly structured environments and work directly with humans. Autonomous mobile robots for warehouses is now a highly competitive sector, with companies like Fetch Robotics, Locus Robotics, and OTTO Motors all offering systems that can zip payloads around busy warehouse floors safely and efficiently.
But if we’re to take the capabilities of the robots that Amazon showcased over the weekend at face value, the company appears to be substantially behind the curve on warehouse robots.
Let’s take a look at the three mobile robots that Amazon describes in their blog post:
“Bert” is one of Amazon’s first Autonomous Mobile Robots, or AMRs. Historically, it’s been difficult to incorporate robotics into areas of our facilities where people and robots are working in the same physical space. AMRs like Bert, which is being tested to autonomously navigate through our facilities with Amazon-developed advanced safety, perception, and navigation technology, could change that. With Bert, robots no longer need to be confined to restricted areas. This means that in the future, an employee could summon Bert to carry items across a facility. In addition, Bert might at some point be able to move larger, heavier items or carts that are used to transport multiple packages through our facilities. By taking those movements on, Bert could help lessen strain on employees.
This all sounds fairly impressive, but only if you’ve been checked out of the AMR space for the last few years. Amazon is presenting Bert as part of the “new technologies” they’re developing, and while that may be the case, as far as we can make out these are very much technologies that seem to be new mostly just to Amazon and not really to anyone else. There are any number of other companies who are selling mobile robot tech that looks to be significantly beyond what we’re seeing here—tech that (unless we’re missing something) has already largely solved many of the same technical problems that Amazon is working on.
We spoke with mobile robot experts from three different robotics companies, none of whom were comfortable going on record (for obvious reasons), but they all agreed that what Amazon is demonstrating in these videos appears to be 2+ years behind the state of the art in commercial mobile robots.
We’re obviously seeing a work in progress with Bert, but I’d be less confused if we were looking at a deployed system, because at least then you could make the argument that Amazon has managed to get something operational at (some) scale, which is much more difficult than a demo or pilot project. But the slow speed, the careful turns, the human chaperones—other AMR companies are way past this stage.
Kermit is an AGC (Autonomously Guided Cart) that is focused on moving empty totes from one location to another within our facilities so we can get empty totes back to the starting line. Kermit follows strategically placed magnetic tape to guide its navigation and uses tags placed along the way to determine if it should speed up, slow down, or modify its course in some way. Kermit is further along in development, currently being tested in several sites across the U.S., and will be introduced in at least a dozen more sites across North America this year.
Most folks in the mobile robots industry would hesitate to call Kermit an autonomous robot at all, which is likely why Amazon doesn’t refer to it as such, instead calling it a “guided cart.” As far as I know, pretty much every other mobile robotics company has done away with stuff like magnetic tape in favor of map-based natural-feature localization (a technology that has been commercially available for years), because then your robots can go anywhere in a mapped warehouse, not just on these predefined paths. Even if you have a space and workflow that never ever changes, busy warehouses have paths that get blocked for one reason or another all the time, and modern AMRs are flexible enough to plan around those paths to complete their tasks. With these autonomous carts that are locked to their tapes, they can’t even move over a couple of feet to get around an obstacle.
I have no idea why this monstrous system called Scooter is the best solution for moving carts around a warehouse. It just seems needlessly huge and complicated, especially since we know Amazon already understands that a great way of moving carts around is by using much smaller robots that can zip underneath a cart, lift it up, and carry it around with them. Obviously, the Kiva drive units only operate in highly structured environments, but other AMR companies are making this concept work on the warehouse floor just fine.
Why is Amazon at “possibilities” when other companies are at commercial deployments?
I honestly just don’t understand what’s happening here. Amazon has (I assume) a huge R&D budget at its disposal. It was investing in robotic technology for e-commerce warehouses super early, and at an unmatched scale. Even beyond Kiva, Amazon obviously understood the importance of AMRs several years ago, with its $100+ million acquisition of Canvas Technology in 2019. But looking back at Canvas’ old videos, it seems like Canvas was doing in 2017 more or less what we’re seeing Amazon’s Bert robot doing now, nearly half a decade later.
We reached out to Amazon Robotics for comment and sent them a series of questions about the robots in these videos. They sent us this response:
The health and safety of our employees is our number one priority—and has been since day one. We’re excited about the possibilities robotics and other technology can play in helping to improve employee safety.
Hmm.
I mean, sure, I’m excited about the same thing, but I’m still stuck on why Amazon is at possibilities, while other companies are at commercial deployments. It’s certainly possible that the sheer Amazon-ness of Amazon is a significant factor here, in the sense that a commercial deployment for Amazon is orders of magnitude larger and more complex than any of the AMR companies that we’re comparing them to are dealing with. And if Amazon can figure out how to make (say) an AMR without using lidar, it would make a much more significant difference for an in-house large-scale deployment relative to companies offering AMRs as a service.
For another take on what might be going on with this announcement from Amazon, we spoke with Matt Beane, who got his PhD at MIT and studies robotics at UCSB’s Technology Management Program. At the ACM/IEEE International Conference on Human-Robot Interaction (HRI) last year, Beane published a paper on the value of robots as social signals—that is, organizations get valuable outcomes from just announcing they have robots, because this encourages key audiences to see the organization in favorable ways. “My research strongly suggests that Amazon is reaping signaling value from this announcement,” Beane told us. There’s nothing inherently wrong with signaling, because robots can create instrumental value, and that value needs to be communicated to the people who will, ideally, benefit from it. But you have to be careful: “My paper also suggests this can be a risky move,” explains Beane. “Blowback can be pretty nasty if the systems aren’t in full-tilt, high-value use. In other words, it works only if the signal pretty closely matches the internal reality.”
There’s no way for us to know what the internal reality at Amazon is. All we have to go on is this blog post, which isn’t much, and we should reiterate that there may be a significant gap between what the post is showing us about Amazon’s mobile robots and what’s actually going on at Amazon Robotics. My hope is what we’re seeing here is primarily a sign that Amazon Robotics is starting to scale things up, and that we’re about to see them get a lot more serious about developing robots that will help make their warehouses less tedious, safer, and more productive. Continue reading
#439354 What’s Going on With Amazon’s ...
Amazon’s innovation blog recently published a post entitled “New technologies to improve Amazon employee safety,” which highlighted four different robotic systems that Amazon’s Robotics and Advanced Technology teams have been working on. Three of these robotic systems are mobile robots, which have been making huge contributions to the warehouse space over the past decade. Amazon in particular was one of the first (if not the first) e-commerce companies to really understand the fundamental power of robots in warehouses, with their $775 million acquisition of Kiva Systems’ pod-transporting robots back in 2012.
Since then, a bunch of other robotics companies have started commercially deploying robots in warehouses, and over the past five years or so, we’ve seen some of those robots develop enough autonomy and intelligence to be able to operate outside of restricted, highly structured environments and work directly with humans. Autonomous mobile robots for warehouses is now a highly competitive sector, with companies like Fetch Robotics, Locus Robotics, and OTTO Motors all offering systems that can zip payloads around busy warehouse floors safely and efficiently.
But if we’re to take the capabilities of the robots that Amazon showcased over the weekend at face value, the company appears to be substantially behind the curve on warehouse robots.
Let’s take a look at the three mobile robots that Amazon describes in their blog post:
“Bert” is one of Amazon’s first Autonomous Mobile Robots, or AMRs. Historically, it’s been difficult to incorporate robotics into areas of our facilities where people and robots are working in the same physical space. AMRs like Bert, which is being tested to autonomously navigate through our facilities with Amazon-developed advanced safety, perception, and navigation technology, could change that. With Bert, robots no longer need to be confined to restricted areas. This means that in the future, an employee could summon Bert to carry items across a facility. In addition, Bert might at some point be able to move larger, heavier items or carts that are used to transport multiple packages through our facilities. By taking those movements on, Bert could help lessen strain on employees.
This all sounds fairly impressive, but only if you’ve been checked out of the AMR space for the last few years. Amazon is presenting Bert as part of the “new technologies” they’re developing, and while that may be the case, as far as we can make out these are very much technologies that seem to be new mostly just to Amazon and not really to anyone else. There are any number of other companies who are selling mobile robot tech that looks to be significantly beyond what we’re seeing here—tech that (unless we’re missing something) has already largely solved many of the same technical problems that Amazon is working on.
We spoke with mobile robot experts from three different robotics companies, none of whom were comfortable going on record (for obvious reasons), but they all agreed that what Amazon is demonstrating in these videos appears to be 2+ years behind the state of the art in commercial mobile robots.
We’re obviously seeing a work in progress with Bert, but I’d be less confused if we were looking at a deployed system, because at least then you could make the argument that Amazon has managed to get something operational at (some) scale, which is much more difficult than a demo or pilot project. But the slow speed, the careful turns, the human chaperones—other AMR companies are way past this stage.
Kermit is an AGC (Autonomously Guided Cart) that is focused on moving empty totes from one location to another within our facilities so we can get empty totes back to the starting line. Kermit follows strategically placed magnetic tape to guide its navigation and uses tags placed along the way to determine if it should speed up, slow down, or modify its course in some way. Kermit is further along in development, currently being tested in several sites across the U.S., and will be introduced in at least a dozen more sites across North America this year.
Most folks in the mobile robots industry would hesitate to call Kermit an autonomous robot at all, which is likely why Amazon doesn’t refer to it as such, instead calling it a “guided cart.” As far as I know, pretty much every other mobile robotics company has done away with stuff like magnetic tape in favor of map-based natural-feature localization (a technology that has been commercially available for years), because then your robots can go anywhere in a mapped warehouse, not just on these predefined paths. Even if you have a space and workflow that never ever changes, busy warehouses have paths that get blocked for one reason or another all the time, and modern AMRs are flexible enough to plan around those paths to complete their tasks. With these autonomous carts that are locked to their tapes, they can’t even move over a couple of feet to get around an obstacle.
I have no idea why this monstrous system called Scooter is the best solution for moving carts around a warehouse. It just seems needlessly huge and complicated, especially since we know Amazon already understands that a great way of moving carts around is by using much smaller robots that can zip underneath a cart, lift it up, and carry it around with them. Obviously, the Kiva drive units only operate in highly structured environments, but other AMR companies are making this concept work on the warehouse floor just fine.
Why is Amazon at “possibilities” when other companies are at commercial deployments?
I honestly just don’t understand what’s happening here. Amazon has (I assume) a huge R&D budget at its disposal. It was investing in robotic technology for e-commerce warehouses super early, and at an unmatched scale. Even beyond Kiva, Amazon obviously understood the importance of AMRs several years ago, with its $100+ million acquisition of Canvas Technology in 2019. But looking back at Canvas’ old videos, it seems like Canvas was doing in 2017 more or less what we’re seeing Amazon’s Bert robot doing now, nearly half a decade later.
We reached out to Amazon Robotics for comment and sent them a series of questions about the robots in these videos. They sent us this response:
The health and safety of our employees is our number one priority—and has been since day one. We’re excited about the possibilities robotics and other technology can play in helping to improve employee safety.
Hmm.
I mean, sure, I’m excited about the same thing, but I’m still stuck on why Amazon is at possibilities, while other companies are at commercial deployments. It’s certainly possible that the sheer Amazon-ness of Amazon is a significant factor here, in the sense that a commercial deployment for Amazon is orders of magnitude larger and more complex than any of the AMR companies that we’re comparing them to are dealing with. And if Amazon can figure out how to make (say) an AMR without using lidar, it would make a much more significant difference for an in-house large-scale deployment relative to companies offering AMRs as a service.
For another take on what might be going on with this announcement from Amazon, we spoke with Matt Beane, who got his PhD at MIT and studies robotics at UCSB’s Technology Management Program. At the ACM/IEEE International Conference on Human-Robot Interaction (HRI) last year, Beane published a paper on the value of robots as social signals—that is, organizations get valuable outcomes from just announcing they have robots, because this encourages key audiences to see the organization in favorable ways. “My research strongly suggests that Amazon is reaping signaling value from this announcement,” Beane told us. There’s nothing inherently wrong with signaling, because robots can create instrumental value, and that value needs to be communicated to the people who will, ideally, benefit from it. But you have to be careful: “My paper also suggests this can be a risky move,” explains Beane. “Blowback can be pretty nasty if the systems aren’t in full-tilt, high-value use. In other words, it works only if the signal pretty closely matches the internal reality.”
There’s no way for us to know what the internal reality at Amazon is. All we have to go on is this blog post, which isn’t much, and we should reiterate that there may be a significant gap between what the post is showing us about Amazon’s mobile robots and what’s actually going on at Amazon Robotics. My hope is what we’re seeing here is primarily a sign that Amazon Robotics is starting to scale things up, and that we’re about to see them get a lot more serious about developing robots that will help make their warehouses less tedious, safer, and more productive. Continue reading
#439347 Smart elastomers are making the robots ...
Imagine flexible surgical instruments that can twist and turn in all directions like miniature octopus arms, or how about large and powerful robot tentacles that can work closely and safely with human workers on production lines. A new generation of robotic tools are beginning to be realized thanks to a combination of strong 'muscles' and sensitive 'nerves' created from smart polymeric materials. A research team led by the smart materials experts Professor Stefan Seelecke and Junior Professor Gianluca Rizzello at Saarland University is exploring fundamental aspects of this exciting field of soft robotics. Continue reading
#439327 It’s (Still) Really Hard for Robots to ...
Every time we think that we’re getting a little bit closer to a household robot, new research comes out showing just how far we have to go. Certainly, we’ve seen lots of progress in specific areas like grasping and semantic understanding and whatnot, but putting it all together into a hardware platform that can actually get stuff done autonomously still seems quite a way off.
In a paper presented at ICRA 2021 this month, researchers from the University of Bremen conducted a “Robot Household Marathon Experiment,” where a PR2 robot was tasked with first setting a table for a simple breakfast and then cleaning up afterwards in order to “investigate and evaluate the scalability and the robustness aspects of mobile manipulation.” While this sort of thing kinda seems like something robots should have figured out, it may not surprise you to learn that it’s actually still a significant challenge.
PR2’s job here is to prepare breakfast by bringing a bowl, a spoon, a cup, a milk box, and a box of cereal to a dining table. After breakfast, the PR2 then has to place washable objects into the dishwasher, put the cereal box back into its storage location, toss the milk box into the trash. The objects vary in shape and appearance, and the robot is only given symbolic descriptions of object locations (in the fridge, on the counter). It’s a very realistic but also very challenging scenario, which probably explains why it takes the poor PR2 90 minutes to complete it.
First off, kudos to that PR2 for still doing solid robotics research, right? And this research is definitely solid—the fact that all of this stuff works as well as it does, perception, motion planning, grasping, high level strategizing, is incredibly impressive. Remember, this is 90 minutes of full autonomy doing tasks that are relatively complex in an environment that’s only semi-structured and somewhat, but not overly, robot-optimized. In fact, over five trials, the robot succeeded in the table setting task five times. It wasn’t flawless, and the PR2 did have particular trouble with grasping tricky objects like the spoon, but the framework that the researchers developed was able to successfully recover from every single failure by tweaking parameters and retrying the failed action. Arguably, failing a lot but also being able to recover a lot is even more useful than not failing at all, if you think long term.
The clean up task was more difficult for the PR2, and it suffered unrecoverable failures during two of the five trials. The paper describes what happened:
Cleaning the table was more challenging than table setting, due to the use of the dishwasher and the difficulty of sideways grasping objects located far away from the edge of the table. In two out of the five runs we encountered an unrecoverable failure. In one of the runs, due to the instability of the grasping trajectory and the robot not tracking it perfectly, the fingers of the robot ended up pushing the milk away during grasping, which resulted in a very unstable grasp. As a result, the box fell to the ground in the carrying phase. Although during the table setting the robot was able to pick up a toppled over cup and successfully bring it to the table, picking up the milk box from the ground was impossible for the PR2. The other unrecoverable failure was the dishwasher grid getting stuck in PR2’s finger. Another major failure happened when placing the cereal box into its vertical drawer, which was difficult because the robot had to reach very high and approach its joint limits. When the gripper opened, the box fell on a side in the shelf, which resulted in it being crushed when the drawer was closed.
Photos: EASE
Failure cases including unstably grasping the milk, getting stuck in the dishwasher, and crushing the cereal.
While we’re focusing a little bit on the failures here, that’s really just to illustrate the exceptionally challenging edge cases that the robot encountered. Again, I want to emphasize that while the PR2 was not successful all the time, its performance over 90 minutes of fully autonomous operation is still very impressive. And I really appreciate that the researchers committed to an experiment like this, putting their robot into a practical(ish) environment doing practical(ish) tasks under full autonomy over a long(ish) period of time. We often see lots of incremental research headed in this general direction, but it’ll take a lot more work like we’re seeing here for robots to get real-world useful enough to reliably handle those critical breakfast tasks.
The Robot Household Marathon Experiment, by Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski and Michael Beetz from the CRC EASE at the Institute for Artificial Intelligence in Germany, was presented at ICRA 2021. Continue reading
#439284 A system to benchmark the posture ...
In recent years, roboticists have developed a wide variety of robots with human-like capabilities. This includes robots with bodies that structurally resemble those of humans, also known as humanoid robots. Continue reading