Upgraded Ensenso 3D camera series now available at IDS
Resolution and accuracy have almost doubled, the price has remained the same – those who choose 3D cameras from the Ensenso N series can now benefit from more advanced models. The new stereo vision cameras (N31, N36, N41, N46) can now be purchased from IDS Imaging Development Systems.
The Ensenso N 3D cameras have a compact housing (made of aluminium or plastic composite, depending on the model) with an integrated pattern projector. They are suitable for capturing both static and moving objects. The integrated projector projects a high-contrast texture onto the objects in question. A pattern mask with a random dot pattern complements non-existing or only weakly visible surface structures. This allows the cameras to deliver detailed 3D point clouds even in difficult lighting conditions.
With the Ensenso models N31, N36, N41 and N46, IDS is now launching the next generation of the previously available N30, N35, N40 and N45. Visually, the cameras do not differ from their predecessors. They do, however, use a new sensor from Sony, the IMX392. This results in a higher resolution (2.3 MP instead of 1.3 MP). All cameras are pre-calibrated and therefore easy to set up. The Ensenso selector on the IDS website helps to choose the right model.
Whether firmly installed or in mobile use on a robot arm: with Ensenso N, users opt for a 3D camera series that provides reliable 3D information for a wide range of applications. The cameras prove their worth in single item picking, for example, support remote-controlled industrial robots, are used in logistics and even help to automate high-volume laundries. IDS provides more in-depth insights into the versatile application possibilities with case studies on the company website.
Communication & Safety Challenges Facing Mobile Robots Manufacturers
Mobile robots are everywhere, from warehouses to hospitals and even on the street. Their popularity is easy to understand; they’re cheaper, safer, easier to find, and more productive than actual workers. They’re easy to scale or combine with other machines. As mobile robots collect a lot of real-time data, companies can use mobile robots to start their IIoT journey.
But to work efficiently, mobile robots need safe and reliable communication. This article outlines the main communication and safety challenges facing mobile robot manufacturers and provides an easy way to overcome these challenges to keep mobile robots moving.
What are Mobile Robots?
Before we begin, let’s define what we mean by mobile robots.
Mobile robots transport materials from one location to another and come in two types, automated guided vehicles (AGVs) and autonomous mobile robots (AMRs). AGVs use guiding infrastructure (wires reflectors, reflectors, or magnetic strips) to follow predetermined routes. If an object blocks an AGV’s path, the AGV stops and waits until the object is removed.
AMRs are more dynamic. They navigate via maps and use data from cameras, built-in sensors, or laser scanners to detect their surroundings and choose the most efficient route. If an object blocks an AMR’s planned route, it selects another route. As AMRs are not reliant on guiding infrastructure, they’re quicker to install and can adapt to logistical changes.
What are the Communication and Safety Challenges Facing Mobile Robot Manufacturers?
1. Establish a Wireless Connection The first challenge for mobile robot manufacturers is to select the most suitable wireless technology. The usual advice is to establish the requirements, evaluate the standards, and choose the best match. Unfortunately, this isn’t always possible for mobile robot manufacturers as often they don’t know where the machine will be located or the exact details of the target application.
Sometimes a Bluetooth connection will be ideal as it offers a stable non-congested connection, while other applications will require a high-speed, secure cellular connection. What would be useful for mobile robot manufacturers is to have a networking technology that’s easy to change to meet specific requirements.
Figure 1. Wireless standard -high-level advantages and disadvantages
The second challenge is to ensure that the installation works as planned. Before installing a wireless solution, complete a predictive site survey based on facility drawings to ensure the mobile robots have sufficient signal coverage throughout the location. The site survey should identify the optimal location for the Access Points, the correct antenna type, the optimal antenna angle, and how to mitigate interference. After the installation, use wireless sniffer tools to check the design and adjust APs or antenna as required.
2. Connecting Mobile Robots to Industrial Networks
Mobile robots need to communicate with controllers at the relevant site even though the mobile robots and controllers are often using different industrial protocols. For example, an AGV might use CANopen while the controller might use PROFINET. Furthermore, mobile robot manufacturers may want to use the same AGV model on a different site where the controller uses another industrial network, such as EtherCAT.
Mobile robot manufacturers also need to ensure that their mobile robots have sufficient capacity to process the required amount of data. The required amount of data will vary depending on the size and type of installation. Large installations may use more data as the routing algorithms need to cover a larger area, more vehicles, and more potential routes. Navigation systems such as vision navigation process images and therefore require more processing power than installations using other navigation systems such as reflectors. As a result, mobile robot manufacturers must solve the following challenges:
They need a networking technology that supports all major fieldbus and industrial Ethernet networks.
It needs to be easy to change the networking technology to enable the mobile robot to communicate on the same industrial network as the controller without changing the hardware design.
They need to ensure that the networking technology has sufficient capacity and functionality to process the required data.
3. Creating a Safe System
Creating a system where mobile robots can safely transport material is a critical but challenging task. Mobile robot manufacturers need to create a system that considers all the diverse types of mobile robots, structures, and people in the environment. They need to ensure that the mobile robots react to outside actions, such as someone opening a safety door or pushing an emergency stop button, and that the networking solution can process different safety protocols and interfaces. They need to consider that AMRs move freely and manage the risk of collisions accordingly. The technology used in sensors is constantly evolving, and mobile robot manufacturers need to follow the developments to ensure their products remain as efficient as possible.
Figure 2. Overview of Safety Challenges for Mobile Robot Manufacturers
Safety Standards
The safety standards provide guidelines on implementing safety-related components, preparing the environment, and maintaining machines or equipment.
While compliance with the different safety standards (ISO, DIN, IEC, ANSI, etc.) is mostly voluntary, machine builders in the European Union are legally required to follow the safety standards in the machinery directives. Machinery directive 2006/42/EC is always applicable for mobile robot manufacturers, and in some applications, directive 2014/30/EU might also be relevant as it regulates the electromagnetic compatibility of equipment. Machinery directive 2006/42/EC describes the requirements for the design and construction of safe machines introduced into the European market. Manufacturers can only affix a CE label and deliver the machine to their customers if they can prove in the declaration of conformity that they have fulfilled the directive’s requirements.
Although the other safety standards are not mandatory, manufacturers should still follow them as they help to fulfill the requirements in machinery directive 2006/42/EC. For example, manufacturers can follow the guidance in ISO 12100 to reduce identified risks to an acceptable residual risk. They can use ISO 13849 or IEC 62061 to find the required safety level for each risk and ensure that the corresponding safety-related function meets the defined requirements. Mobile robot manufacturers decide how they achieve a certain safety level. For example, they can decrease the speed of the mobile robot to lower the risk of collisions and severity of injuries to an acceptable level. Or they can ensure that mobile robots only operate in separated zones where human access is prohibited (defined as confined zones in ISO 3691-4). Identifying the correct standards and implementing the requirements is the best way mobile manufacturers can create a safe system. But as this summary suggests, it’s a complicated and time-consuming process.
4. Ensuring a Reliable CAN Communication A reliable and easy-to-implement standard since the 1980s, communication-based on CAN technology is still growing in popularity, mainly due to its use in various booming industries, such as E-Mobility and Battery Energy Storage Systems (BESS). CAN is simple, energy and cost-efficient. All the devices on the network can access all the information, and it’s an open standard, meaning that users can adapt and extend the messages to meet their needs. For mobile robot manufacturers, establishing a CAN connection is becoming even more vital as it enables them to monitor the lithium-ion batteries increasingly used in mobile robot drive systems, either in retrofit systems or in new installations. Mobile robot manufacturers need to do the following:
1.Establish a reliable connection to the CAN or CANopen communication standards to enable them to check their devices, such as monitoring the battery’s status and performance.
2. Protect systems from electromagnetic interference (EMI), as EMI can destroy a system’s electronics. The risk of EMI is significant in retrofits as adding new components, such as batteries next to the communication cable, results in the introduction of high-frequency electromagnetic disturbances.
5. Accessing Mobile Robots Remotely The ability to remotely access a machine’s control system can enable mobile robot vendors or engineers to troubleshoot and resolve most problems without traveling to the site.
Figure 3. Benefits of Remote Access
The challenge is to create a remote access solution that balances the needs of the IT department with the needs of the engineer or vendor.
The IT department wants to ensure that the network remains secure, reliable, and retains integrity. As a result, the remote access solution should include the following security measures:
Use outbound connections rather than inbound connections to keep the impact on the firewall to a minimum.
Separate the relevant traffic from the rest of the network.
Encrypt and protect all traffic to ensure its confidentiality and integrity.
Ensure that vendors work in line with or are certified to relevant security standards such as ISO 27001
Ensure that suppliers complete regular security audits.
The engineer or vendor wants an easy-to-use and dependable system. It should be easy for users to connect to the mobile robots and access the required information. If the installation might change, it should be easy to scale the number of robots as required. If the mobile robots are in a different country from the vendors or engineers, the networking infrastructure must have sufficient coverage and redundancy to guarantee availability worldwide.
Conclusion As we’ve seen, mobile robot manufacturers must solve many communication and safety challenges. They must establish a wireless connection, send data over different networks, ensure safety, connect to CAN systems, and securely access the robots remotely. And to make it more complicated, each installation must be re-assessed and adapted to meet the on-site requirements.
Best practice to implement mobile robot communication Mobile robot manufacturers are rarely communication or safety experts. Subsequently, they can find it time-consuming and expensive to try and develop the required communication technology in-house. Enlisting purpose-built third-party communication solutions not only solves the communication challenges at hand, it also provides other benefits.
Modern communication solutions have a modular design enabling mobile robot manufacturers to remove one networking product designed for one standard or protocol and replace it with a product designed for a different standard or protocol without impacting any other part of the machine. For example, Bluetooth may be the most suitable wireless standard in one installation, while Wi-Fi may provide better coverage in another installation. Similarly, one site may use the PROFINET and PROFIsafe protocols, while another may use different industrial and safety protocols. In both scenarios, mobile robot manufacturers can use communication products to change the networking technology to meet the local requirements without making any changes to the hardware design.
Authors:
Mark Crossley, Daniel Heinzler, Fredrik Brynolf, Thomas Carlsson
HMS Networks
HMS Networks is an industrial communication expert based in Sweden, providing several solutions for AGV communication. Read more on www.hms-networks.com/agv
LITTLETON, Colo., 2022 /PRNewswire/ — Luxonis, a Colorado-based robotic vision platform, is thrilled to introduce rae, its first fully-formed and high-powered personal robot. Backed by a Kickstarter campaign to help support its development, rae sets itself apart by offering a multitude of features right out of the box, along with a unique degree of experimental programming potential that far exceeds other consumer robots on the market. The most recent of a long line of Luxonis innovations, rae is designed to make robotics accessible and simple for users of any experience level.
„rae is representative of our foremost goal at Luxonis: to make robotics accessible and simple for anyone, not just the tenured engineer with years of programming experience,“ said Brandon Gilles, CEO of Luxonis. „A longstanding truth about robotics is that the barrier to entry sometimes feels impossibly high, but it doesn’t have to be that way. By creating rae, we want to help demonstrate the kinds of positive impacts robotics can bring to all people’s lives, whether it’s as simple as helping you find your keys, talking with your friend who uses American Sign Language, or playing with your kids.“
At its core, rae is a world-class robot, and includes AI, computer vision and machine learning all on-device. Building upon the technology of the brand’s award-winning OAK cameras, rae offers stereo depth, object tracking, motion estimation, 9-axis IMU data, neural inference, corner detection, motion zooming, and is fully compatible with the DepthAI API. With next-generation simultaneous localization and mapping (SLAM), rae can map out and navigate through unknown environments, and is preconfigured with ROS 2 for access to its robust collection of software and applications.
Featuring a full suite of standard applications, rae offers games like follow me and hide and seek, and useful tools like barcode/QR code scanning, license plate reading, fall detection, time-lapse recording, emotion recognition, object finding, sign language interpretation, and a security alert mode. All applications are controllable through rae’s mobile app, which users can use from anywhere around the world. They can also link with Luxonis‘ cloud platform, RobotHub, to manage customizations, download and install user-created applications, and collaborate with Luxonis‘ user community.
Crowdfunding campaigns and developing trailblazing products that roboticists love is something that is in Luxonis‘ DNA, which is made evident by its established track record of two previously successful campaigns. Luxonis‘ first Kickstarter for the OpenCV AI Kit in 2021 raised $1.3 million with 6,564 backers, and the second for the OAK-D Lite raised $1.02 million with 7,988 backers. With the support of robot hobbyists and brand loyalists, as well as new target backers such as educators, students, and parents, rae is en route to leave an impact as a revolutionary personal robot that isn’t limited to niche demographics.
Pricing for rae starts at $299 and international shipping is available.
Interested backers can learn more about the campaign here.
The mission at Luxonis is robotic vision, made simple. They are working to improve the engineering efficiency of the world through their industry leading and award winning camera systems, which embed AI, CV, and machine learning into a high performing, compact package. Luxonis offers full-stack solutions stretching from hardware, firmware, software, and a growing cloud-based management platform, and prioritizes customer success above all else through the continued development of their DepthAI ecosystem.
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COPENHAGEN, Denmark—November 2022—modl.ai, which seeks to remove the shackles of game development with a transformative AI engine, announced today it has closed Series A funding of €8.5m with lead investor Griffin Gaming Partners and M12 – Microsoft’s Venture Fund. The company received additional participation from Rendered.vc, PreSeed Ventures, and Transistormedia.
The modl.ai AI engine is redefining game development by equipping developers with an essentially unlimited army of bots that can adapt to various playing styles, employ dynamic moves and tactics. This gives developers power to enhance automation and remove the redundancies and manual efforts that often stymie and delay the release of new games and updates by months or even years.
Pierre-Edouard Planche, Partner at Griffin Gaming Partners, said: „Gaming is one of the trickiest user experiences for which to automate testing, and it therefore requires an utmost degree of technical talent and research combined with direct experience working in games. This is why we are very excited to be backing Christoffer, Lars, Benedikte, and the modl.ai team to help streamline a growing pain and multi-billion-dollar industry expense that is top of mind for many game developers.“
Carli Stein of M12 added: “At M12, we’re excited about the impact modl.ai will have on the gaming industry, allowing game developers to focus on the parts of development they love, while automating the costly, time-consuming, and manual processes they don’t,” said Carli Stein, an investor at M12. “When we met Christoffer and the modl.ai team, we knew they had the right combination of highly technical domain expertise, coupled with a product suite that has the potential to revolutionize game development as we know it.”
modl.ai was founded by a talented team of game developers, engineers and AI experts led by CEO Christoffer Holmgård, who saw the opportunity to use AI to automate and improve multiple aspects of the game development process. Between them, the company founders have developed and launched more than 30 games for PC, Mac, Playstation, Xbox, Switch, Apple Arcade and further platforms.
“We started modl.ai to build the tools and technology we always wished we had as game developers,” said Christoffer Holmgård, CEO and Co-Founder. “In 2018, we decided that the timing was right, both for technology and the market. The founders had worked together in games and AI for more than a decade, always discussing how we could bring advanced AI to game developers broadly, offering something completely new to the industry that we love. All games are unique, creative works, but they share production needs and technological characteristics. That’s why the games industry is becoming increasingly modular and standardized. This is a good thing, and we want to be the de facto AI Engine for as many games as possible.”
With the new funding, the company will expand its reach to make the AI Engine available to developers worldwide. With simple setup, developers will get access to AI players – to not just test and balance their games but also have access to customizable bots who will play their game with or against their player base. modl.ai’s AI Engine works with the major publicly available game engines such as Unity and Unreal Engine and can be extended to support any modern game engine.
modl.ai’s AI Engine drives bots for games, enabling AI players that test, evaluate, and even play games in the place of human players. The market for testing and quality assurance in games alone is several billion dollars, and the need for bot players has become crucial in a multiplayer focused $200Bn+ industry.
The games industry is on the cutting edge of technology and innovation; however much of the game development process is highly manual. This means significant creative potential with highly skilled developers, as well as precious speed to market, is lost to rote work and monotonous daily routine. modl.ai is on a mission to change this, building an AI Engine that frees developers to focus on creating, by automating the parts of the game development process that are repetitive and time consuming through AI players.
„Game testing is an endemic, universal, yet overlooked pain point in the industry that has material impact on studio operations, profitability, and title performance. Automation solutions have not emerged due to the complex nature of games and unique design. We strongly believe that modl.ai is the breakthrough team to tackle this moonshot opportunity and, in doing so, is positioned to build a powerful AI platform developed for 3D environments that can grow beyond games,“ stated Jiten Dajee, Rendered VC.
“At PreSeed Ventures, we know it’s all about a few individuals with a rare set of traits and the right mentality to move the needle and modl.ai’s CEO, Christoffer Holmgård is one of those people,” said Mads Klarskov Petersen, COO of PreSeed Ventures. “modl.ai has not only attracted top talent within the space, 12 PhDs from applied AI in games, but has proven the growing importance that AI plays across different aspects of modern game development. Moreover, Christoffer is one of our favorite examples of how a Danish startup can attract international talent and investors, by building a unique technology and sticking to its purpose: helping developers to enhance and increase player engagement no matter the market direction.”
ABOUT modl.ai
Headquartered in Denmark, modl.ai is a four-year-old company that is transforming the game development market with its state-of-the-art AI Engine and machine learning models. Staffed by many of the industry’s best and brightest, modl.ai currently ranks second in the world among private companies for the number of technical game publications its team has collectively authored. With modl.ai’s engine and game-playing bots, testing, evaluation, overall game development and speed to market will never be the same. „If anyone can bring games AI research to the industry and succeed, this is the team“ – Ken Stanley, OpenAI alum.“ For more please visit modl.ai.
IFR presents World Robotics Report 2022 #WorldRobotics
Frankfurt, Oct 13, 2022 — The new World Robotics report shows an all-time high of 517,385 new industrial robots installed in 2021 in factories around the world. This represents a growth rate of 31% year-on-year and exceeds the pre-pandemic record of robot installation in 2018 by 22%. Today, the stock of operational robots around the globe hits a new record of about 3.5 million units.”
“The use of robotics and automation is growing at a breathtaking speed,” says Marina Bill, President of the International Federation of Robotics. “Within six years, annual robot installations more than doubled. According to our latest statistics, installations grew strongly in 2021 in all major customer industries, although supply chain disruptions as well as different local or regional headwinds hampered production.”
Asia, Europe and the Americas – overview
Asia remains the world’s largest market for industrial robots. 74% of all newly deployed robots in 2021 were installed in Asia (2020: 70%).
Installations for the region´s largest adopter China grew strongly by 51% with 268,195 units shipped. Every other robot installed globally in 2021 was deployed here. The operational stock broke the 1-million-unit mark (+27%). This high growth rate indicates the rapid speed of robotization in China.
Japan remained second to China as the largest market for industrial robots. Installations were up 22% in 2021 with 47,182 units. Japan’s operational stock was 393,326 units (+5%) in 2021. After two years of declining robot installations in all major industries, numbers began growing again in 2021. Japan is the world´s predominant robot manufacturing country: Exports of Japanese industrial robots achieved a new peak level at 186,102 units in 2021.
The Republic of Korea was the fourth largest robot market in terms of annual installations, following the US, Japan and China. Robot installations increased by 2% to 31,083 units in 2021. This followed four years of declining installation figures. The operational stock of robots was computed at 366,227 units (+7%).
Europe
Robot installations in Europe were up 24% to 84,302 units in 2021. This represents a new peak. Demand from the automotive industry was steady, while demand from the general industry was up by 51%. Germany, which belongs to the five major robot markets in the world, had a share of 28% of total installations in Europe. Italy followed with 17% and France with 7%.
The number of installed robots in Germany grew by 6% to 23,777 units in 2021. This is the second highest installation count ever recorded, following the peak caused by massive investments from the automotive industry in 2018 (26,723 units). The operational stock of robots was calculated at 245,908 units (+7%) in 2021. Exports of industrial robots from Germany were up 41% to 22,870 units, exceeding the pre-pandemic level.
Italy is the second largest robot market in Europe after Germany. The main growth driver between 2016 and 2021 was the general industry with an annual average growth rate of 8%. The operational stock of robots was computed at 89,330 units (+14%) in 2021. The 2021 results were driven by catch-up effects and earlier purchases due to a reduction of tax credits in 2022. This created a 65% increase of robot installations to a new record level of 14,083 units in 2021.
The robot market in France ranked third in Europe in 2021 regarding annual installations and operational stock, following Italy and Germany. In 2021, robot installations increased by 11% to 5,945 units. The operational stock of robots in France was calculated at 49,312 units, a 10% increase over the previous year.
In the United Kingdom, industrial robot installations were down by 7% to 2,054 units. The operational stock of robots was calculated at 24,445 units (+6%) in 2021. This is less than a tenth of Germany´s stock. The automotive industry reduced installations by 42% to 507 units in 2021.
The Americas
In 2021, 50,712 industrial robots were installed in the Americas, 31% more than in 2020. This is a remarkable recovery from the pandemic dip in 2020 and the second time that robot installations in the Americas exceeded the 50,000-unit mark, with 55,212 units in 2018 setting the benchmark.
New installations in the United States were up by 14% to 34,987 units in 2021. This exceeded the pre-pandemic level of 33,378 units in 2019 but was still considerably lower than the peak level of 40,373 units in 2018. The automotive industry is still by far the number one adopter with 9,782 units installed in 2021. However, demand had been continuously declining for five years (2016-2021). In 2021 installations were down 7% compared to 2020. Installations in the metal and machinery industry surged by 66% to 3,814 units in 2021, putting this industry into second place in terms of robot demand. The plastic and chemical products industry had 3,466 robots (+30%) newly installed in 2021. The food and beverage industry installed 25% more robots, reaching a new peak level of 3,402 units in 2021. The robotics industry offers hygienic solutions that experienced growing demand during the Covid-19 pandemic.
Outlook
Rising energy prices, intermediate product prices and scarcity of electronic components are challenging all branches of the global economy. But order books are full and demand for industrial robots has never been higher. In total, global robot installations are expected to grow by 10% to almost 570,000 units in 2022. The post-pandemic boom experienced in 2021 is expected to fade out in 2022. From 2022 to 2025, average annual growth rates in the medium to upper single-digit range are forecast.
Orders for World Robotics 2022 Industrial Robots and Service Robots reports can be placed online. Further downloads on the content are available here.
AGILOX expands its product portfolio with an intelligent dolly mover
With the new AGILOX ODM, the AMR manufacturer is targeting a completely new area of application: the transport of small load carriers.
After AGILOX ONE and AGILOX OCF, now comes AGILOX ODM. The company, which specializes in logistics robots, is adding an autonomous dolly mover to its range of intelligent transport systems controlled by swarm intelligence. AGILOX is thus targeting a completely new area of application: the transport of small load carriers.
AGILOX is expanding its range of Autonomous Mobile Robots (AMRs) with the new Omnidirectional Dolly Mover AGILOX ODM. While the AGILOX ONE is equipped with a scissor lift and the AGILOX OCF has a free lift for load handling, the AGILOX ODM is built on the principle of a dolly mover. This means it can accept loads with a maximum weight of 300 kg to a maximum lifting height of 250 mm and transport them to their destination. The intelligent AMR concept with AGILOX X-SWARM technology thus opens up new areas of application and other industry segments because small load carriers (such as totes), which the new AGILOX ODM is designed to transport, are widely used, especially in the electronics and pharmaceutical industries.
Details of the new AGILOX ODM With the AGILOX ODM, AGILOX has brought new thinking to the concept of Automated Guided Vehicles: The compact vehicle travels autonomously and navigates freely on the production floor or in the warehouse, perfectly ensuring the in-house material flow. Just like AGILOX ONE and AGILOX OCF, AGILOX ODM uses an omnidirectional drive concept. This allows it to travel transversely into rack aisles as well as turn on the spot, enabling it to maneuver even in the tightest of spaces. The lithium iron phosphate (LiFePO4) accumulator ensures short charge times and long operating cycles.
“AGILOX is a brand that has built a strong foundation with the AGILOX ONE and the AGILOX OCF. With the new AGILOX ODM, we remain true to our brand DNA while simultaneously targeting the transport of small load carriers to support our growth plan to become the world’s leading AMR provider,” says Georg Kirchmayr, CEO of AGILOX Services GmbH.
The AGILOX advantage With the new AGILOX ODM, customers can benefit from all the advantages of same proven X-SWARM technology as in AGILOX ONE and AGILOX OCF: the unique advantages of an (intra-)logistics solution designed from the ground up.
Since AGILOX AMRs have no need for a central control system and can orient to the existing contours with millimeter precision, this eliminates time-consuming and costly modifications to the existing infrastructure. Autonomous route-finding also enables the vehicles to avoid obstacles unaided. If it is not possible to get past the detected obstacle due its size or the available clearance, the AMRs calculate a new route within seconds to reach their destination as quickly as possible. For customers, this means maximum freedom in their existing processes, because they do not have to adapt to the Autonomous Mobile Robot system. Instead, the system adapts to the customer’s processes. Furthermore, fully autonomous routing ensures a safe workflow – even in mixed operations.
Plug & Perform commissioning of the intelligent intralogistics solutions and the absence of a master computer or navigation aids also saves AGILOX customers from doing tedious alteration work in advance. Once the logistics robots have been put into operation, they organize themselves according to the (decentralized) principle of swarm intelligence, i.e. they exchange information several times a second to enable the entire fleet to calculate the most efficient route and prevent potential deadlocks before these can occur. The customer thus benefits from a system that constantly runs smoothly, with no downtime. Time-consuming coordination of vehicles by the customer is also a thing of the past thanks to AGILOX X-SWARM technology. For the customer, this means flexibility, because it lets them expand the vehicles‘ area of operation within just a few minutes. It also means that it is very easy to relocate an AGILOX AMR to be used temporarily in other areas of the company areas or its subsidiaries. Since AGILOX vehicles can also communicate with other machines or the building infrastructure by means of IO boxes, even rolling doors or multiple floors are no problem for the AMRs. So, this too means that customers enjoy maximum flexibility in the organization of their production processes.
Another major advantage comes from mixed operation of the AGILOX fleet in a “swarm”. The smaller AGILOX ONE and ODM series vehicles can then, for example, feed the assembly workstations or e-Kanban racks, while the AGILOX OCF vehicles transport the pallets. This can easily be done because AGILOX AMRs all use the same control and WiFi infrastructure.
NSK is working to assist society by developing new service robot technology, including robotic devices for moving patients in medical settings. In October 2021, the company joined a Japanese government initiative to implement robotic technology in hospitals and help prevent the spread of Covid-19. NSK is now working to develop its robotic technologies further through dialogue with frontline medical staff.
New robots are currently in development around the world to assist humans and help solve societal issues. As part of this effort, NSK wants to create robots for use in settings where many people are moving around, including medical facilities and hospitals. The company’s smooth movement and low noise technologies are ideal for robotic applications in this field.
Among the candidates for development at the initial planning stage was an autonomous mobile robot. However, after observing the inner workings of a hospital, with its narrow corridors and high footfall rates, NSK concluded that a motorised assistance robot which could help staff during patient transfer would be a more useful contribution to workplace efficiency.
The company knew that its proposed robot could reduce the physical burden on medical staff and help facilitate work-style reform in the healthcare sector. Based on this approach, the company built a robotic prototype that helps staff to move heavy objects such as stretchers and trolleys in hospitals. As part of the Japanese government initiative, NSK is currently demonstrating the use of its motorised assistance robot at a major hospital. The end goal is eventual adoption by the healthcare sector for daily use.
NSK is focusing on essential user issues when developing the assist robot, deploying idea verification in short cycles. For example, rather than spending three years to develop the robot in its entirety, NSK is seeking feedback from customers every three months, implementing improvements incrementally during the development process.
The robot developed by NSK uses a motor drive that facilitates smooth starting and acceleration, as well as deceleration and tight turns. NSK ultimately wants to create a usable robot that fits user requirements, leveraging its know-how to aid people working in frontline healthcare. Innovative projects of this type support the company’s ethos of better meeting the needs of society, while simultaneously creating opportunities for new business growth.
Guest Article by Ellie Poverly - Ellie is an online journalist specializing in robotics and science research. She is also the Managing Editor at Revolutionized Magazine.
As of 2022, roughly 80% of the ocean remains a mystery. In fact, much of it hasn’t even been seen by humans yet. There have been more photographs of the Moon’s surface than the ocean floor.
Exploring the deepest parts of the ocean is an incredible challenge, complicated by intense pressures and complete darkness. Here’s a look at the robots that could finally reveal the secrets of Earth’s oceans.
The Limits of Human Exploration
Over half of the tallest mountain on Earth is underwater. The volcano Mauna Kea in Hawai’i is estimated to be around a mile taller than Mt. Everest from base to peak, although most of it is submerged. This massive volcano is just one of countless secrets hiding beneath the surface of Earth’s oceans.
Other discoveries waiting underwater range from the wrecks of lost aircraft to the remains of sunken ships and even sunken cities, as well as life that looks like something from an alien world. Exploring the ocean floor could reveal groundbreaking archaeological, geological and biological discoveries. So, why haven’t humans started SCUBA diving down to the seabed?
Unfortunately, reaching the ocean floor is not easy, especially for humans. The deepest part of the ocean is the Mariana Trench, which extends 7 miles — or about 36,200 feet — deep. To put that into perspective, the world record for the deepest SCUBA dive is only 1,090 feet, set by diver Ahmed Gabr in 2014. Approximately 1,000 feet below sea level is considered the maximum depth humans can dive.
Luckily, humans have invented some amazing robots to help explore the ocean floor remotely.
The Robotic SCUBA Divers Exploring the Depths
A growing number of robotic SCUBA divers travel down to the deepest reaches of the ocean. Some look like mini submarines, while others are eerily human-like. These robots help scientists study a wide range of topics and may become even more crucial in the years ahead.
For instance, climate change increases the risk of food toxins on the surface. Could this be happening underwater as well? Additionally, the strange biology of deep-sea life could help researchers learn more about how life evolved on Earth and how it might exist on other worlds.
The Woods Hole Oceanographic Institution has explored depths of 36,000 feet below sea level in the Mariana Trench using a robotic submarine called Orpheus. The robot is helping create 3D imaging of the ocean floor and capture video footage of deep-sea life. Its navigation system may one day be used in robots that explore the dark oceans of the moons of Jupiter and Saturn.
Taking a completely different approach is the OceanOne robotic SCUBA diver developed by researchers at Stanford University. The OceanOne is designed to be as human-like as possible, acting as a robotic avatar for human divers. On its maiden voyage in 2016, OceanOne was used to retrieve the first treasures ever recovered from the flagship of King Louis XIV, wrecked in 1664. Humans have never touched the wreck before.
NASA is also developing a deep-sea robot — the Aquanaut — which features a humanoid design. The Aquanaut has front-mounted cameras and sensors, as well as robotic arms engineers can connect various tools to. Unlike other deep-sea robots, the Aquanaut is geared more toward underwater work than exploration. However, NASA still plans to use robots to explore the oceans of Europa and Enceladus, frozen moons of Jupiter and Saturn, respectively.
What the Robot Divers are Discovering
These robotic SCUBA divers are making incredible discoveries at the bottom of the ocean. For starters, robots are helping scientists map the ocean floor, which is a monumental undertaking. Robots that dive down to the seabed need to withstand immense pressures that would kill a human diver. Plus, all of the robot’s instrumentation, sensors, cameras and navigation electronics must be able to survive, as well.
In addition to mapping the ocean floor, robotic SCUBA divers are helping humans find new species of aquatic life. The seabed seems like an unlikely place for life — it is entirely devoid of sunlight and freezing. However, robotic deep-sea exploration has changed how scientists think about the necessary ingredients for life.
Dozens of new species have been discovered living in the darkness of the deep oceans. They range from colossal squids to strange life forms that look like something straight out of science fiction. Many deep-sea animals do not have eyes since there is no light on the ocean floor. Others have evolved to be far larger than their higher-depth cousins, such as enormous jellyfish and crabs.
The Future of Robotic SCUBA Divers
Robots are taking exploration to new horizons that would otherwise be unattainable for humans. Earth’s oceans remain some of the least explored regions in the solar system. With the help of robotic SCUBA divers, scientists are discovering new species, unearthing ancient shipwrecks and revolutionizing knowledge of the sea.
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