AMP Robotics announces largest deployment of AI-guided recycling robots

AMP Robotics announces largest deployment of AI-guided recycling robots

AMP robotics deployment at SSR in Florida. Source: Business Wire

DENVER — AMP Robotics Corp., a pioneer in artificial intelligence and robotics for the recycling industry, today announced the further expansion of AI guided robots for recycling municipal solid waste at Single Stream Recyclers LLC. This follows Single Stream Recyclers’ recent unveiling of its first installation of AMP systems at its state-of-the-art material recovery facility in Florida, the first of its kind in the state.

Single Stream Recyclers (SSR) currently operates six AMP Cortex single-robot systems at its 100,000 square-foot facility in Sarasota. The latest deployment will add another four AMP Cortex dual-robot systems (DRS), bringing the total deployment to 14 robots. The AMP Cortex DRS uses two high-speed precision robots that sort, pick, and place materials. The robots are installed on a number of different sorting lines throughout the facility and will process plastics, cartons, paper, cardboard, metals, and other materials.

“Robots are the future of the recycling industry,” said John Hansen co-owner of SSR. “Our investment with AMP is vital to our goal of creating the most efficient recycling operation possible, while producing the highest value commodities for resale.”

“AMP’s robots are highly reliable and can consistently pick 70-80 items a minute as needed, twice as fast as humanly possible and with greater accuracy,” added Eric Konik co-owner of SSR. “This will help us lower cost, remove contamination, increase the purity of our commodity bales, divert waste from the landfill, and increase overall recycling rates.”

AMP Neuron AI guides materials sorting

The AMP Cortex robots are guided by the AMP Neuron AI platform to perform tasks. AMP Neuron applies computer vision and machine learning to recognize different colors, textures, shapes, sizes, and patterns to identify material characteristics.

Exact down to what brand a package is, the system transforms millions of images into data, directing the robots to pick and place targeted material for recycling. The AI platform digitizes the material stream, capturing data on what goes in and out, so informed decisions can be made about operations.

“SSR has built a world-class facility that sets the bar for modern recycling. John, Eric and their team are at the forefront of their industry and we are grateful to be a part of their plans,” said Matanya Horowitz, CEO of AMP Robotics. “SSR represents the most comprehensive application of AI and robotics in the recycling industry, a major milestone not only for us, but for the advancement of the circular economy.”

The new systems will be installed this summer. Upon completion, AMP’s installation at SSR is believed to be the single largest application of AI guided robots for recycling in the United States and likely the world. In addition to Florida, AMP has installations at numerous facilities across the country including California, Colorado, Indiana, Minnesota, and Wisconsin; with many more planned. Earlier this spring, AMP expanded globally by partnering with Ryohshin Ltd. to bring robotic recycling to Japan.

About AMP Robotics

AMP Robotics is transforming the economics of recycling with AI-guided robots. The company’s high-performance industrial robotics system, AMP Cortex, precisely automates the identification, sorting, and processing of material streams to extract maximum value for businesses that recycle municipal solid waste, e-waste and construction and demolition.

The AMP Neuron AI platform operates AMP Cortex using advanced computer vision and machine learning to continuously train itself by processing millions of material images within an ever-expanding neural network that experientially adapts to changes in a facility’s material stream.

About Single Stream Recyclers

Single Stream Recyclers is a materials recovery facility in Sarasota, Fla. It processes, materials from all over the west coast of Florida. The facility sorts, bales and ships aluminum, cardboard, food and beverage cartons, glass, paper, plastics, metal and other recyclables from residential curbside and commercial recycling collection. SSR is heavily invested in technology to help create the best possible end products and reduce contamination as well as residue.

Researchers building modular, self-programming robots to improve HRI

Many work processes would be almost unthinkable today without robots. But robots operating in manufacturing facilities have often posed risks to workers because they are not responsive enough to their surroundings.

To make it easier for people and robots to work in close proximity in the future, Prof. Matthias Althoff of the Technical University of Munich (TUM) has developed a new system called (IMPROV) that uses interconnectable modules for self-programming and self-verification.

When companies use robots to produce goods, they generally have to position their automatic helpers in safety cages to reduce the risk of injury to people working nearby. A new system could soon free the robots from their cages and thus transform standard practices in the world of automation.

Althoff has developed a toolbox principle for the simple assembly of safe robots using various components. The modules can be combined in almost any way desired, enabling companies to customize their robots for a wide range of tasks – or simply replace damaged components. Althoff’s system was presented in a paper in the June 2019 issue of Science Robotics.

Built-in chip enables the robot to program itself

Robots that can be configured individually using a set of components have been seen before. However, each new model required expert programming before going into operation. Althoff has equipped each module in his IMPROV robot toolbox with a chip that enables every modular robot to program itself on the basis of its own individual toolkit.

In the Science Robotics paper, the researchers said “self-programming of high-level tasks was not considered in this work. The created models were used for automatically synthesizing model-based controllers, as well as for the following two aspects.”

Self-verification

To account for dynamically changing environments, the robot formally verified, by itself, whether any human could be harmed through its planned actions during its operation. A planned motion was verified as safe if none of the possible future movements of surrounding humans leads to a collision.

Because uncountable possible future motions of surrounding humans exist, Althoff bound the set of possible motions using reachability analysis. Althoff said the inherently safe approach renders robot cages unnecessary in many applications.

Scientist Christina Miller working on the modular robot arm. Credit: A. Heddergott/TUM

Keeping an eye on the people working nearby

“Our modular design will soon make it more cost-effective to build working robots. But the toolbox principle offers an even bigger advantage: With IMPROV, we can develop safe robots that react to and avoid contact with people in their surroundings,” said Althoff.

With the chip installed in each module and the self-programming functionality, the robot is automatically aware of all data on the forces acting within it as well as its own geometry. That enables the robot to predict its own path of movement.

At the same time, the robot’s control center uses input from cameras installed in the room to collect data on the movements of people working nearby. Using this information, a robot programmed with IMPROV can model the potential next moves of all of the nearby workers. As a result, it can stop before coming into contact with a hand, for example – or with other approaching objects.

“With IMPROV we can guarantee that the controls will function correctly. Because the robots are automatically programmed for all possible movements nearby, no human will be able to instruct them to do anything wrong,” says Althoff.

IMPROV shortens cycle times

For their toolbox set, the scientists used standard industrial modules for some parts, complemented by the necessary chips and new components from the 3D printer. In a user study, Althoff and his team showed that IMPROV not only makes working robots cheaper and safer – it also speeds them up: They take 36% less time to complete their tasks than previous solutions that require a permanent safety zone around a robot.

Editor’s Note: This article was republished from the Technical University of Munich.

Rutgers develops system to optimize automated packing


Rutgers computer scientists used artificial intelligence to control a robotic arm that provides a more efficient way to pack boxes, saving businesses time and money.

“We can achieve low-cost, automated solutions that are easily deployable. The key is to make minimal but effective hardware choices and focus on robust algorithms and software,” said the study’s senior author Kostas Bekris, an associate professor in the Department of Computer Science in the School of Arts and Sciences at Rutgers University-New Brunswick.

Bekris, Abdeslam Boularias and Jingjin Yu, both assistant professors of computer science, formed a team to deal with multiple aspects of the robot packing problem in an integrated way through hardware, 3D perception and robust motion.

The scientists’ peer-reviewed study (PDF) was published recently at the IEEE International Conference on Robotics and Automation, where it was a finalist for the Best Paper Award in Automation. The study coincides with the growing trend of deploying robots to perform logistics, retail and warehouse tasks. Advances in robotics are accelerating at an unprecedented pace due to machine learning algorithms that allow for continuous experiments.

The video above shows a Kuka LBR iiwa robotic arm tightly packing objects from a bin into a shipping order box (five times actual speed). The researchers used two Intel RealSense SR300 depth-sensing cameras.

Pipeline in terms of control, data flow (green lines) and failure handling (red lines). The blocks identify the modules of the system. Click image to enlarge. | Credit: Rutgers University

Tightly packing products picked from an unorganized pile remains largely a manual task, even though it is critical to warehouse efficiency. Automating such tasks is important for companies’ competitiveness and allows people to focus on less menial and physically taxing work, according to the Rutgers scientific team.

The Rutgers study focused on placing objects from a bin into a small shipping box and tightly arranging them. This is a more difficult task for a robot compared with just picking up an object and dropping it into a box.

The researchers developed software and algorithms for their robotic arm. They used visual data and a simple suction cup, which doubles as a finger for pushing objects. The resulting system can topple objects to get a desirable surface for grabbing them. Furthermore, it uses sensor data to pull objects toward a targeted area and push objects together. During these operations, it uses real-time monitoring to detect and avoid potential failures.

Since the study focused on packing cube-shaped objects, a next step would be to explore packing objects of different shapes and sizes. Another step would be to explore automatic learning by the robotic system after it’s given a specific task.

Editor’s Note: This article was republished with permission from Rutgers University.

Brain Corp Europe opens in Amsterdam


A BrainOS-powered autonomous floor scrubber. | Credit: Brain Corp

San Diego-based Brain Corp, the Softbank-backed developer of autonomous navigation systems, has opened its European headquarters in Amsterdam. The reason for the expansion is two-fold: it helps Brain better support partners who do business in Europe, and it helps Brain find additional engineering talent.

“Amsterdam is a fantastic gateway to Europe and has one of the largest airports in Europe,” Sandy Agnos, Brain’s Director of Global Business Development, told The Robot Report. “It’s very business and tech friendly. It is the second-fastest-growing tech community, talent-wise, in Europe.”

Brain hired Michel Spruijt to lead Brain Corp Europe. He will be tasked with driving sales of BrainOS-powered machines, providing partner support, and overseeing general operations throughout Europe. Agnos said Brain was impressed by Spruijt’s previous experience growing an office from “a few employees to over 100 was impressive to us.”

“Under Michel Spruijt’s guidance, our vision of a world where the lives of people are made safer, easier, more productive, and more fulfilling with the help of robots will extend into Europe,” said Eugene Izhikevich, Brain Corp’s Co-Founder and CEO.

Agnos said there will initially be about 12 employees at Brain Corp Europe who focus mostly on service and support. She added that Brain is recruiting software engineering talent and will continue to grow the Amsterdam office.

A rendering of how BrainOS-powered machines sense their environment. | Credit: Brain Corp

Brain planning worldwide expansion

The European headquarters marks the second international office in Brain’s global expansion. The company opened an office in Tokyo in 2017. This made sense for a couple of reasons. Japanese tech giant Softbank led Brain’s $114 million funding round in mid-2017 via the Softbank Vision Fund. And Softbank’s new autonomous floor cleaning robot, Whiz, uses Brain’s autonomous navigation stack.

Agnos said Brain is planning to add other regional offices after Amsterdam. The dates are in flux, but future expansion includes:

  • Further growth in Europe in 2020
  • Expansion in Asia Pacific, specifically Australia and Korea, in mid- to late-2020
  • South America afterwards

“We follow our partners’ needs,” said Agnos. “We are becoming a global company with support offices around the world. The hardest part is we can’t expand fast enough. Our OEM partners already have large, global customer bases. We need to have the right people and infrastructure in each location.”

BrainOS-powered robots

BrainOS, the company’s cloud-connected operating system, currently powers thousands of floor care robots across numerous environments. Brain recently partnered with Nilfisk, a Copenhagen, Denmark-based cleaning solutions provider that has been around for 110-plus years. Nilfisk is licensing the BrainOS platform for the production, deployment, and support of its robotic floor cleaners.

Walmart, the world’s largest retailer, has 360 BrainOS-powered machines cleaning its stores across the United States. A human needs to initially teach the BrainOS-powered machines the layout of the stores. But after that initial demo, BrainOS’ combination of off-the-shelf hardware, sensors, and software enable the floor scrubbers to navigate autonomously. Brain employs a collection of cameras, sensors and LiDAR to ensure safety and obstacle avoidance. All the robots are connected to a cloud-based reporting system that allows them to be monitored and managed.

At ProMat 2019, Brain debuted AutoDelivery, a proof-of-concept autonomous delivery robot designed for retail stores, warehouses, and factories. AutoDelivery, which can tow several cart types, boasts cameras, 4G LTE connectivity, and routing algorithms that allow it to learn its way around a store. AutoDelivery isn’t slated for commercial launch until early 2020.

Izhikevich recently told The Robot Report that Brain is exploring other types of mobile applications, including delivery, eldercare, security and more. In July 2018, Brain led a $13.4 million Series B for Savioke, which makes autonomous delivery robots. For years, Savioke built its autonomous navigation stack from scratch using ROS.

‘Boaty McBoatface’ shows promising future of AUVs


The biggest mystery in the universe could possibly be right here on Earth. According to the National Oceanic and Atmospheric Administration (NOAA), as much as 95% of the oceans and 99% of the ocean floor has yet to be explored. Given more than 70% of the planet is covered by water, the promise for unmanned systems to go deeper into the depths of the sea could be one of the ripest opportunities for autonomy. Besides the benefits for conservationism, commercial missions are estimated to drive billions of dollars of new revenues. Already the demand for such hardware systems accounts for more than $2 billion, which many project will climb to more than $6 billion by 2025.

Today’s underwater drone market is in its infancy with most sensor-packed, torpedo-like devices being tugged around the globe on the decks of ships. These products break down into two main categories:

  • Remote Operated Vehicles (ROV)
  • Autonomous Underwater Vehicles (AUV)

As an example of the emerging possibilities for AUVs, earlier this month the British government-backed project, Boaty McBoatface, traversed more than 112 miles autonomously at depths of 4,000 meters to shed new light on climate change and rising sea levels.

In the words of Dr. Eleanor Frajka-Williams of the National Oceanography Centre in Southampton, England, “the data from Boaty McBoatface gave us a completely new way of looking at the deep ocean – the path taken by Boaty created a spatial view of the turbulence near the seafloor.” Frajka-Williams anticipates that the information will help scientists predict the impact of global warming.

Dr. Povl Abrahamsen of the British Antarctic Survey in Cambridge, England echoed this view, “This study is a great example of how exciting new technology such as the unmanned submarine ‘Boaty McBoatface’ can be used along with ship-based measurements and cutting-edge ocean models to discover and explain previously unknown processes affecting heat transport within the ocean.” The future plans for Boaty include diving underneath Arctic ice and into subsea volcanos.

Boaty operates in a crowded space of close to fifty for-profit companies competing for marketshare. The activities of both large multinational corporations and upstart technology providers range from applications for defense to commercial exploration to scientific research. One of the largest purveyors is BlueFin Robotics, which was purchased by General Dynamics in 2016. Since then, there have been a number of high profile aquatic acquisitions, including: Riptide Autonomous Solutions by BAE Systems; Liquid Robotics by Boeing; and multiple investments in Ocean Aero by Lockheed Martin. The biggest driver of this consolidation is the demand from the military, particularly the Navy, for autonomous searching out and destroy missions.

In September 2017 the US Navy established the Unmanned Undersea Vehicle Squadron 1 (UUVRON-1). When explaining this move, Captain Robert Gaucher stated “Standing up UUVRON 1 shows our Navy’s commitment to the future of unmanned systems and undersea combat.” This sentiment was shared by Commander Corey Barker, spokesman of the famed Submarine Force Pacific, “In addition to providing a rapid, potentially lower cost solution to a variety of mission sets, UUVs can mitigate operations that pose increased risk to manned platforms.”

Last summer the Navy appointed a dedicated Commander of UUVRON-1, Scott Smith. In a recent interview, Smith opined his vision for sea drones, “Those missions that are too dangerous to put men on, or those missions that are too mundane and routine, but important ― like monitoring ― we’ll use them for those missions, as well. I don’t think we’ll ever replace the manned platform, but we’ll certainly augment them to a large degree.” It is this augmentation that is generating millions of dollars of defense contracts which are starting to spill over to private industry.

Boston-based Dive Technologies, founded by a team of former BlueFin engineers, is building an innovative technology to broaden the use of unmanned marine systems. In speaking with its CEO this week, Jerry Sgobbo, he described nascent opportunities for his suite of innovations: “We see demand for offshore survey work in the U.S. increasing significantly as grid scale offshore wind farms are developed over the next decade. In particular, much of this work will take place in New England and mid-Atlantic waters.”

Sgobbo is referring to the recent move by Rhode Island in constructing the first ever wind farm in the United States, capitalizing on the regions famous gale-force gusts. Based upon the success of the Block Island project, other states are quickly putting forth legislation to follow suit. Just this week, Senator Edward Markey of Massachusetts declared in Congress that “offshore wind has the potential to change the game on climate change, and those winds of change are blowing off the shores of Massachusetts. Offshore wind projects are a crucial part of America’s clean energy future, creating tens of thousands of jobs up and down the East Coast and reducing carbon pollution. In order to harness this potential, we need to provide this burgeoning industry the long-term certainty in the tax code that it needs.”

Sgobbo believes that such moves will spark greater investment in automation to support the harnessing of renewal energy. Dive’s value proposition is collecting imaging that enables wind farm builders to better map the ocean floor for their large structures. As the founder states, “For commercial customers, this data is necessary to support deepwater energy infrastructure projects. For defense customers, the same imaging approach is used to locate sea mines.”

Dive’s flexible platform readily lends itself to the development of offshore wind turbines. Sgobbo further explained, “Dive’s AUV is a large platform with very long range and is intended to operate independently without the need for the infrastructure that traditionally supports an AUV mission today. This allows a survey operator to reduce cost as well as perform survey work at times of the year when it is impractical to use a towed system or smaller AUV.”

The startup leveraged its extensive industry knowledge to reinvent how marine drones are utilized. “When we started Dive Technologies, my co-founders and I first took an in-depth look at how medium and large sized AUVs are being operated and manufactured across the industry today and we saw vast potential for innovation and improvement,” recalled Sgobbo. “Our new AUV platform, the ‘DIVE-LD,’ addresses the industry’s needs by drastically increasing payload capacity and on-board energy storage but, most importantly, driving down the cost to collect offshore data. We do this by offering quickly configurable payload space to accommodate specific sensors needed for a job or mission, and then letting our robot do what robots are meant to do, operate autonomously and with minimal human intervention.”

This means that Dive’s ability to tailor its product to specific mission requirements, along with greater battery capacity, enables it to take travel farther and deeper than its competitors. “Today’s offshore AUV missions are typically conducted with a dozen humans in an expensive surface support vessel which leads to important survey work being prohibitively expensive. Dive’s novel engineering solution will categorically shift this paradigm,” expounds Sgobbo.

As the growth of marine robotics begins to proliferate across the globe, how businesses utilize the technology will expand into new categories. Sgobbo predicts, “Often, the military and commercial missions have used very similar AUV technology, but are looking for different things in the ocean. Looking forward, both customers are interested in longer range AUVs. For commercial customers, the goal is to reduce operating costs. For defense, a low cost, long range AUV opens new mission sets beyond mine countermeasure and will further lend to keeping sailors safe from dull, dirty, and dangerous missions. Also, AUVs are increasingly important data collection tools for the scientific community.”

As we closed our discussion, he optimistically quipped, “With approximately 90% of the world’s trade carried across these marine highways, we see the U.S. Navy investing heavily in next generation AUV technologies to maintain a forward presence and keep shipping lanes secure. As a team, we also look forward to the opportunities we’ll discover in the unknown.”