Industrial Robot

Recent Posts

What’s Next to Interact with Industrial Robots

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Human interaction with industrial robots has been limited over the last 50 years. Imitation learning, cobots, and natural language processing are enabling new human-machine interactions. Elsewhere AI techniques continue to adapt to industrial needs.

Short on Labor: Factories Turn to Robots

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Facing a shortage of workers, manufacturers are forced to raise wages and automate with robotics. Robotic welding is an investment in safety, as well as productivity and quality. Fuselage assembly and paint spray processes become automated.

Assembly Line

Unlocking the industrial potential of robotics and automation

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✍️ Authors: Femi Ajewole, Ani Kelkar, Dylan Moore, Emily Shao, Manju Thirtha

🔖 Topics: Industrial Robot

🏢 Organizations: McKinsey


Some aspects of productive activity are more amenable to automation than others are, with routine tasks at the head of the line. Activities such as picking, packing, sorting, movement from point to point, and quality assurance are already automated to some extent, and these will continue to see heavy investment over the coming years. Conversely, activities such as assembly, stamping, surface treatment, and welding, all of which require high levels of human input, are less likely to be automated in the short to medium terms.

A standout message from the survey is that automation is not easy. Participants report that the primary challenges to adoption include the capital cost of robots and a company’s general lack of experience with automation, cited by 71 percent and 61 percent of respondents, respectively. Some say that business confidence in technology is low, leading to challenges around conviction and funding. Moreover, respondents’ expectations of production and reliability gains through automation are offset by the belief that such gains will eliminate jobs and may affect existing contracts. In fact, that is not the case since automation typically leads to changes in workplace roles rather than the creation of redundancies.

Read more at McKinsey Insights

Fast, Easy Six-Axis Robot Integration Created by a Molder for Molders

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✍️ Author: Matthew Naitove

🔖 Topics: Industrial Robot

🏢 Organizations: Noble Plastics, FANUC


For Scott and his staff, few tools are more critical to profitability and efficiency than automation, which is why Noble Plastics has Fanuc six-axis robots on all its injection machines. The integration was performed inhouse with the philosophy that, as Rogers puts it, “The robot should be a partner for the operator, not a hindrance.” After 20-plus years of robot integration experience and eight years as an authorized integrator for Fanuc robots, Noble Plastics is now launching a turnkey package of a robot, basic and intuitive user interface, end-of-arm tooling (EOAT)—if desired, integration with the injection machine controls, job-specific programming and operator training. “We can do all this faster and at lower cost than your average integrator,” Rogers says, “and the end result is easier for the operator to use.”

Systems can be delivered in as little as 2 to 4 weeks and commissioned in 1 to 2 days, vs. up to 4 to 6 months. All this adds up to what Rogers thinks is a unique set of capabilities to serve injection molding customers in need of highly flexible automation. Is six-axis an expensive solution? Not if you make good use of its capabilities, says Rogers. “Depending on how many shifts you run, it could be $2 to $5/hr. And there are some things you can do with a six-axis that you can’t do with human operators or any other kind of robot.”

Read more at Plastics Technology

World's Largest Pasta Production Plant a Showcase for Integrated Robotics and Sustainable Distribution

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✍️ Author: Jim McMahon

🔖 Topics: Industrial Robot, Lights out Manufacturing

🏭 Vertical: Food

🏢 Organizations: Barilla, E80 Group


Barilla’s flagship pasta manufacturing plant in Parma, Italy boasts a 430,000 square foot distribution facility – fully automated, lights-out, 24/7/365 operation – equipped with120 laser-guided vehicles, 37 robotic systems including high-density AS/RS, palletizers, labelers and stretch wrappers, handling 320,000 tons of pasta annually. Designed, manufactured and installed by E80 Group, this distribution facility is not only an example of excellence in integrated robotics systems, but also a showpiece for energy and environmental efficiency.

To realize such an integrated-system and energy-efficient strategy at Barilla’s Parma distribution facility, E80 Group (E80) was selected to design, manufacture and install a solution. E80 is an Italian-based multinational leader specializing in creating automated solutions for companies that produce fast-moving consumer goods, particularly in the food, beverage and tissue sectors. It has been a leading manufacturer of integrated-robotics systems for distribution facilities for almost three decades, specifically laser-guided vehicles (LGVs), robotic palletizers and other end-of-line robotic systems. The company’s latest technology advances have made LGVs particularly attractive for sustainability and reduced energy usage.

Read more at Robotics Tomorrow

RT-1: Robotics Transformer for Real-World Control at Scale

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✍️ Authors: Keerthana Gopalakrishnan, Kanishka Rao

🔖 Topics: Industrial Robot, Transformer Net, Open Source

🏢 Organizations: Google


Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language processing, have been enabled by a shared common approach that leverages large, diverse datasets and expressive models that can absorb all of the data effectively. Although there have been various attempts to apply this approach to robotics, robots have not yet leveraged highly-capable models as well as other subfields.

Several factors contribute to this challenge. First, there’s the lack of large-scale and diverse robotic data, which limits a model’s ability to absorb a broad set of robotic experiences. Data collection is particularly expensive and challenging for robotics because dataset curation requires engineering-heavy autonomous operation, or demonstrations collected using human teleoperations. A second factor is the lack of expressive, scalable, and fast-enough-for-real-time-inference models that can learn from such datasets and generalize effectively.

To address these challenges, we propose the Robotics Transformer 1 (RT-1), a multi-task model that tokenizes robot inputs and outputs actions (e.g., camera images, task instructions, and motor commands) to enable efficient inference at runtime, which makes real-time control feasible. This model is trained on a large-scale, real-world robotics dataset of 130k episodes that cover 700+ tasks, collected using a fleet of 13 robots from Everyday Robots (EDR) over 17 months. We demonstrate that RT-1 can exhibit significantly improved zero-shot generalization to new tasks, environments and objects compared to prior techniques. Moreover, we carefully evaluate and ablate many of the design choices in the model and training set, analyzing the effects of tokenization, action representation, and dataset composition. Finally, we’re open-sourcing the RT-1 code, and hope it will provide a valuable resource for future research on scaling up robot learning.

Read more at Google AI Blog

Covariant Robotic Depalletization | Mixed-SKU Pallets

Bridgestone Unveils Soft-Robot Hand for Package Handling

How Does Advance Concrete Use a Robot for Welding

ROBOT PROGRAMMING: the big problem and how to solve it

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✍️ Author: Germán Villalobos

🔖 Topics: Industrial Robot


In this note I share the arguments presented in those conversations, besides other similar with other important clients, why programming is frequently one of the big problems of the integration and use of robots, along with their maintenance, but the latter may be topic for another note.

As we have previously discussed, it can take 80 hours the basic programming training. The costs per seat is around $ 5,300 USD, if they also require training courses in equipment and application software, for example, vision cameras or welding, you could invest several thousand dollars more. To reduce a bit the costs and complexity of robot programming, some IDE and simulation software has been created for universal use, I mean, they can be used in all brands of robots, these are generally based on CAM interface most used in CNC machines and can work relatively well for modifications, updates, and development of simple programs, which do not require the complexity of handling decision subroutines or more complex mathematical functions. Gaining the skills and experience that give confidence in the code is very important, especially when the code is the only thing preventing a $90k robot from hitting a $450k machine tool.

Read more at Germán Villalobos on LinkedIn

Keep It Simple and Shined with Automated Surface Finishing

Walgreens Turns to Prescription-Filling Robots to Free Up Pharmacists

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✍️ Author: Sharon Terlep

🔖 Topics: Industrial Robot, Warehouse Automation, BOPIS

🏢 Organizations: Walgreens, iA


Walgreens Boots Alliance Inc. is turning to robots to ease workloads at drugstores as it grapples with a nationwide shortage of pharmacists and pharmacist technicians.

The nation’s second-largest pharmacy chain is setting up a network of automated, centralized drug-filling centers that could fill a city block. Rows of yellow robotic arms bend and rotate as they sort and bottle multicolored pills, sending them down conveyor belts. The company says the setup cuts pharmacist workloads by at least 25% and will save Walgreens more than $1 billion a year.

The ultimate goal: give pharmacists more time to provide medical services such as vaccinations, patient outreach and prescribing of some medications. Those services are a relatively new and growing revenue stream for drugstores, which are increasingly able to bill insurers for some clinical services.

Read more at Wall Street Journal (Paid)

Robots Are Taking Over Chinese Factories

NVIDIA Robotics Software Jumps to the Cloud, Enabling Collaborative, Accelerated Development of Robots

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✍️ Author: Gerard Andrews

🔖 Topics: Industrial Robot, Simulation

🏢 Organizations: NVIDIA


Robotics developers can span global teams testing for navigation of environments, underscoring the importance of easy access to simulation software for quick input and iterations. Using Isaac Sim in the cloud, roboticists will be able to generate large datasets from physically accurate sensor simulations to train the AI-based perception models on their robots. The synthetic data generated in these simulations improves the model performance and provides training data that often can’t be collected in the real world.

Developers will have three options to access it. It will soon be available on the new NVIDIA Omniverse Cloud platform, a suite of services that enables developers to design and use metaverse applications from anywhere. It’s available now on AWS RoboMaker, a cloud-based simulation service for robotics development and testing. And, developers can download it from NVIDIA NGC and deploy it to any public cloud.

Read more at NVIDIA Blog

Predictive-Maintenance Tech Is Taking Off as Manufacturers Seek More Efficiency

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✍️ Author: Angus Loten

🔖 Topics: Industrial Robot, Computer Numerical Control

🏢 Organizations: Augury


Anna Farberov, general manager of PepsiCo Labs, the technology venture arm of PepsiCo Inc., said that over the past year so-called predictive-maintenance systems at four Frito-Lay plants reduced unexpected breakdowns, interruptions and incremental costs for replacement parts, among other benefits.

Developed by New York-based startup Augury Inc., the technology has helped Frito-Lay add some 4,000 hours a year of manufacturing capacity—the equivalent of several million pounds of snacks coming off the production line and shipped to store shelves, Ms. Farberov said.

Read more at Wall Street Journal (Paid)

Amazon’s Janus framework lifts continual learning to the next level

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✍️ Author: Alan S Brown

🔖 Topics: Industrial Robot

🏢 Organizations: Amazon


“The problem with machine learning is that models must adapt to continually changing data conditions,” says Cassie Meeker, an Amazon Robotics applied scientist who is an expert user of Amazon’s continuous learning system. “Amazon is a global company — the types of packages we ship and the distribution of these packages changes frequently. Our models need to adapt to these changes while maintaining high performance. To do this, we require continual learning.” To get there, Meeker’s team created a new learning system—a framework powerful and smart enough to adapt to distribution shifts in real time.

Read more at Amazon Science

Adaptive Computing in Robotics: Making the Intelligent Factory Possible

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🔖 Topics: Industrial Robot

🏢 Organizations: AMD


Demand for robotics is accelerating rapidly. According to the research firm, Statista, the global market for industrial robots, as an example, will more than double from US$81 billion in 2021, to over US$165 billion in 2028 (1). Today, you can find the technologies you need to build a robot that is safe and secure and can operate alongside humans. But getting these technologies working together can be a huge undertaking. Complicating matters is the addition of artificial intelligence which is making it more difficult to keep up with computational demands. In order to meet today’s rapid pace of innovation, roboticists are turning toward adaptive computing platforms. These offer lower latency and deterministic, multi-axis control with built-in safety and security on a modular platform that is scalable for the future.

Read more at Xilinx Tech Online

Robot integration ease of use a priority

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✍️ Author: Xavier Schmidt

🔖 Topics: Industrial Robot, Programmable Logic Controller


Leading robot manufacturers – ABB, Comau, Epson, Fanuc, Jaka, Kawasaki, Kuka, Nachi, Panasonic, Stäubli, TM Robot, Yamaha, Yaskawa – joined forces at the initiative of Siemens to develop a solution. Around 70 percent of the world’s robot manufacturers were on board. Now, the joint work has paid off. A uniform data interface between the PLC and the robot controllers has been defined to make robot programming uniform – and thus more efficient – for PLC programmers and PLC suppliers. Via this data interface, robot programs can be written completely in the PLC by calling the robot functions and reporting the required robot state information back to the PLC.

Read more at Plant Engineering

Towards Helpful Robots: Grounding Language in Robotic Affordances

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✍️ Authors: Brian Ichter, Karol Hausman

🔖 Topics: Industrial Robot, Natural Language Processing

🏢 Organizations: Google, Everyday Robots


In “Do As I Can, Not As I Say: Grounding Language in Robotic Affordances”, we present a novel approach, developed in partnership with Everyday Robots, that leverages advanced language model knowledge to enable a physical agent, such as a robot, to follow high-level textual instructions for physically-grounded tasks, while grounding the language model in tasks that are feasible within a specific real-world context. We evaluate our method, which we call PaLM-SayCan, by placing robots in a real kitchen setting and giving them tasks expressed in natural language. We observe highly interpretable results for temporally-extended complex and abstract tasks, like “I just worked out, please bring me a snack and a drink to recover.” Specifically, we demonstrate that grounding the language model in the real world nearly halves errors over non-grounded baselines. We are also excited to release a robot simulation setup where the research community can test this approach.

Read more at Google AI Blog

Sim2Real AI Helps Robots Think Outside The Box

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🔖 Topics: Simulation, Generative Design, Industrial Robot

🏢 Organizations: Ambi Robotics


At Ambi Robotics, our robotic systems learn how to handle diverse items using data generated by advanced simulation. We fine-tune our simulations to the performance of our sensors, our robots, and variations on the items our robots will handle. Our simulations run extremely fast, hundreds of times faster than robots training in the physical world, so we can train our robots overnight. This is what enables our solutions to work reliably from day one.

Read more at Ambi Robotics Blog

ROS: How Well Does it Address Manufacturers’ Needs?

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✍️ Author: Louis Pavlakos

🔖 Topics: Industrial Robot

🏢 Organizations: Omnirobotic


Using ROS, developers can build the three main components of a robot: the actuators, sensors, and control systems. These components are then unified with ROS tools, namely topics and messages. The messages are used to plan the robot’s movement and, using a digital twin, developers can ensure that their code works without having to actually test it on a real robot.

Omnirobotic’s AutonomyOS™ is a middleware meant to simplify and widen how robots are being used. While they both aim to achieve similar results, AutonomyOS™ flips the script by removing the need to code – something that still drives ROS. AutonomyOS™ can be primarily used by High-Mix manufacturers for a variety of different applications like paint spray processes, welding, and sanding. What is “High-Mix” Manufacturing? It is generally defined as any manufacturer or production that processes more than 100 different SKUs in batches fewer than 1000 each year – basically, a lot more variation than mass manufacturing.

Read more at Omnirobotic Blog

Veo Robotics’ 2022 Manufacturing Automation Outlook

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🔖 Topics: Industrial Robot

🏢 Organizations: Veo Robotics


To optimize their investments, manufacturers must create an environment conducive to this new hybrid workplace. To do this, manufacturers must create environments where robots and humans can work nearby as collaborators to optimize space and increase productivity. Ironically, however, as manufacturers are increasingly seeking ways to automate their processes, antiquated safeguarding measures are, in many cases, hindering their ability to embrace it fully.

In fact, manufacturers surveyed by Veo cited many areas that they would like to automate but cannot because of safeguarding complexities or obstructions. Areas mentioned include, operator load stations (24%) welding & soldering (18%), primary packaging (17%) and palletizing/depalletizing (13%).

Read more at Veo Robotics Blog

How Realtime’s Technology Simplifies Motion Planning

Can Realtime Robotics’ RapidPlan Software Break Through Industrial Automation’s Slow Progress?

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✍️ Author: Jacob Bourne

🔖 Topics: Industrial Robot

🏢 Organizations: Realtime Robotics


Despite continuous advances in the field of robotics, complex motion through space still presents a stumbling block for bots. In oftentimes hectic industrial settings, complex motion that entails a robot getting from point A to point B to perform a task is a feat that generally involves weeks to months of programming time, resulting in movement that’s relatively slow and collision-prone. It’s a challenge that George Konidaris, cofounder and chief roboticist of Realtime Robotics, says has been a persistent hurdle for robotics researchers since 1979—and he thinks RapidPlan represents a significant leap of progress.

Part of the software’s promise is enabling robots to more quickly determine the best path of movement in dynamic environments like factories, which Konidaris says so far hasn’t been accomplished. Software users start with RapidPlan Create, which guides them through the robotic programming phase. Then RapidPlan Control runs the robots’ operations.

Data from Realtime indicates that the software can reduce programming time by 70-80 percent, increase throughput rate by 10-30 percent and decrease a bot’s life cycle cost by up to 50 percent.

Read more at Engineering.com

Meet the Robotiq Screwdriving Solution

OSARO™ Robotic Induction System

Engine block assembly line for Scania's trucks of tomorrow

Rent-a-Robot and Our Tight Labor Market

📅 Date:

✍️ Authors: Brent Orrell, Jake Easter

🔖 Topics: Industrial Robot


Today, firms like Formic Technologies, Stout Industrial Technologies, and Rios Intelligent Machines, Inc. are helping move robotics into new sectors of the economy and into small- and medium-sized firms through a robots-as-a-service model. The robotic systems they offer are not only more nimble, smarter, and more efficient than their predecessors of a quarter-century ago but are also cost-effective in helping mid-sized and small firms overcome constraints posed by capital and technological know-how. Companies paying $15 an hour or more for labor—if they are able to find workers at all—can rent a robotic solution for around $8 per hour per robot while avoiding capital outlays of as much as $125,000 per unit. Avoiding big-ticket investments combined with a 40 to 50 percent reduction in labor costs is the kind of thing that gets business-owner attention.

Read more at The Bulwark

Expanding the robotics toolbox: Physics changes in Unity 2022.1

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🔖 Topics: Simulation, Industrial Robot

🏢 Organizations: Unity


Simulate sophisticated, environment-aware robots with the new inverse dynamics force sensor tools. Explore dynamics with the completely revamped Physics Debugger. Take advantage of the performance improvements in interpolation, batch queries, and more.

Read more at Unity Blog

Robots and CNC Machines - An Assembly Configuration Made in Heaven

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🔖 Topics: Industrial Robot, Computer Numerical Control

🏢 Organizations: VersaBuilt, Universal Robots


The real challenge with manufacturing comes from making all of your equipment work together. Electrical and automation controls have been around for decades, and the technology has advanced at nearly overwhelming rates. It’s almost a guarantee that any new machine will need some sort of custom interface board or network protocol to communicate and work in harmony with the rest of the process or overall system.

Two types of machines have a tendency to be a bit more difficult for novice users to integrate into a larger system scope - robots and CNC machines.

Read more at Control Automation

At Amazon Robotics, simulation gains traction

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✍️ Author: Alan S. Brown

🔖 Topics: industrial robot, simulation

🏢 Organizations: Amazon, MIT


“To develop complex robotic manipulation systems, we need both visual realism and accurate physics,” says Marchese. “There aren’t many simulators that can do both. Moreover, where we can, we need to preserve and exploit structure in the governing equations — this helps us analyze and control the robotic systems we build.”

Drake, an open-source toolbox for modeling and optimizing robots and their control system, brings together several desirable elements for online simulation. The first is a robust multibody dynamics engine optimized for simulating robotic devices. The second is a systems framework that lets Amazon scientists write custom models and compose these into complex systems that represent actual robots. The third is what he calls a “buffet of well-tested solvers” that resolve numerical optimizations at the core of Amazon’s models, sometimes as often as every time step of the simulation. Lastly, is its robust contact solver. It calculates the forces that occur when rigid-body items interact with one another in a simulation.

Read more at Amazon Science

Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization

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✍️ Authors: Chen Yang, Yingchao Wang, Shulin Lan, Lihui Wang, Weiming Shen, George Q Huang

🔖 Topics: Industrial Robot

🏢 Organizations: Beijing Institute of Technology, KTH Royal Institute of Technology


Personalized products have gradually become the main business model and core competencies of many enterprises. Large differences in components and short delivery cycles of such products, however, require industrial robots in cloud manufacturing (CMfg) to be smarter, more responsive and more flexible. This means that the deep learning models (DLMs) for smart robots should have the performance of real-time response, optimization, adaptability, dynamism, and multimodal data fusion. To satisfy these typical demands, a cloud-edge-device collaboration framework of CMfg is first proposed to support smart collaborative decision-making for smart robots. Meanwhile, in this context, different deployment and update mechanisms of DLMs for smart robots are analyzed in detail, aiming to support rapid response and high-performance decision-making by considering the factors of data sources, data processing location, offline/online learning, data sharing and the life cycle of DLMs. In addition, related key technologies are presented to provide references for technical research directions in this field.

Read more at ScienceDirect

RoboDK Pro Training - Module 06 - 08 - Part Feeder - Create Mechanism - Robot Simulation - Tutorial

Automated Assembly for Waterproof Electrical Connectors, Courtesy of Noble Plastics

Robots Become More Useful In Factories

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✍️ Author: John Koon

🔖 Topics: Industrial Robot

🏢 Organizations: Siemens


“The main focus of manufacturing is to increase productivity measured in throughput over a time period, with minimum downtime,” said Sathishkumar Balasubramanian, head of product management and marketing for IC verification at Siemens EDA. “But assembly line manufacturing line is a dynamic environment, and automation is only part of the solution. On the outside, it seems to be important to have constant flow. However, variability in manufacturing flow is inevitable, and how the manufacturing process adapts to variation is highly critical to keep the downtime to a minimum. For example, in bottling manufacturing, how the work moves from station 1 to station 4, and a change in bottle orientation, can be addressed by an adaptive production line to meet peak demand with minimum disruption. That is very important. The ability to sense the status of manufacturing line at the edge is key to robotic manufacturing process.”

Read more at Semiconductor Engineering

Industry 5.0: Adding the Human Edge to Industry 4.0

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✍️ Author: Andrew Lightstead

🔖 Topics: Industrial Robot, Robot Picking

🏢 Organizations: Photoneo


The arms of pick and place robots are equipped with end effectors similar to human hands that are specifically designed for picking various types of objects. These may include components that are further used in the manufacturing processes of products.

Pick and place robots have a wide range of capabilities. Depending on specific application requirements, they can be equipped with several types of end effectors. The most common ones include vacuum grippers with suction cups, fingered grippers, clawed grippers, magnetic grippers, or custom grippers. To achieve a high level of flexibility, pick and place robots are often equipped with multiple arms and heads. This helps them approach objects from several angles at any given time.

Read more at Photoneo Blog

Mitsubishi Electric Develops Teaching-less Robot System Technology

📅 Date:

🔖 Topics: Natural Language Processing, Industrial Robot

🏢 Organizations: Mitsubishi Electric


Mitsubishi Electric Corporation announced it has developed a teaching-less robot system technology to enable robots to perform tasks, such as sorting and arrangement as fast as humans without having to be taught by specialists. The system incorporates Mitsubishi Electric’s Maisart AI technologies including high-precision speech recognition, which allows operators to issue voice instructions to initiate work tasks and then fine-tune robot movements as required. The technology is expected to be applied in facilities such as food-processing factories where items change frequently, which has made it difficult until now to introduce robots. Mitsubishi Electric aims to commercialize the technology in or after 2023 following further performance enhancements and extensive verifications.

Read more at Mitsubishi Electric News

Realtime Robotics enhances responsive workcell monitoring by reading CAD files with CAD Exchanger

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🔖 Topics: Industrial Robot

🏢 Organizations: CAD Exchanger, Realtime Robotics


It was Realtime Robotics who managed to fuse all the latest technological achievements and academic research and to elaborate a specialized toolkit for on-the-fly motion planning. “Realtime Robotics has created technology that solves a 30-year-old challenge in the robotics industry. Our motion planning solution allows industrial automation to move collision-free and respond to obstacles in real time,” says Will Floyd-Jones, Co-Founder & Robotics Engineer in Realtime Robotics.

The initial plan to cobble together various libraries was no longer relevant when Realtime Robotic stumbled upon CAD Exchanger. “We would have to hack a bunch of things together and try to figure out how to get them to import data in one common way. And then we discovered that CAD Exchanger has already solved the problem and would just do that for us,” explains Will Floyd-Jones, Co-Founder & Robotics Engineer in Realtime Robotics.

Read more at CAD Exchanger Blog

Marlan Lets Cobot Perform Heavy Repetitive Sanding Work

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🔖 Topics: industrial robot, cobot

🏢 Organizations: Robotiq, Universal Robots, Marlan


One of the operations that are common when processing solid surface products is sanding. This is heavy, repetitive work that requires skilled personnel. Such personnel is becoming increasingly difficult to find. In addition, it is important that the quality is guaranteed. It became increasingly difficult for Marlan to organize this task properly. The company therefore went in search of a way to automate this process as much as possible.

After delivery, the cobot was deployed within two weeks. Heerema was able to program it within half an hour, without any programming experience. After the implementation and installation, two employees were trained and the cobot was fine-tuned to determine the correct pressure when sanding. This step was also the start of further optimizing other parts of the production. According to Heerema, some employees were immediately enthusiastic, but others were afraid of losing their jobs. “But that’s not what we’re about at all. We want to make it easier for employees and give them the opportunity to increase their output.” The employees are now fully accustomed to the cobot and see it as a kind of colleague.

The cobot at Marlan is currently used for sanding bathtubs. This is a large object that is difficult to sand manually. A major problem here is monitoring consistent quality. Heerema: “But with a cobot you can guarantee an even pressure which also ensures constant product quality.”

Read more at Robotiq Blog

MiR+UR autonomous picking and transport

Can Boston Dynamics’ Robots Spot And Stretch Make It Profitable?

Fleet of MiR robots at Mirgor in Argentina

Machine Shop Creates Robot Machining Cell Before There was Work for It

📅 Date:

✍️ Author: John Koetsier

🔖 Topics: industrial robot, robotic arm

🏢 Organizations: Custom Tool, Fanuc, Hardinge, Telit


This machine shop’s self-integrated robot was purchased without a project in mind. However, when a particular part order came in, the robot paired with the proper machine tool was an optimal fit for the job, offering consistency and an increase in throughput.

The M-10 is a six-axis robot that is designed specifically for small work cells and can lift up to 12 kg. Young purchased the robot with a force sensor, which he highly recommends. Force sensors enable robots to detect force and torque applied to the end effector. This provides it with an almost human sense of touch. Surprising to Young and his team, the force sensor was not difficult to set up and use.

After the robot purchase and the order came in, it was time to search for the right machine tool for the job. The Hardinge Bridgeport V480 APC VMC was attractive to Young because of its pallet changing system that maximizes spindle uptime.

Custom Tool’s automated data collection and reporting system developed by company president, Gillen Young, uses a web-based, Industrial Internet of Things (IIoT) platform to pull data from machines that have agents for the open-source MTConnect communication protocol as well as the company’s JobBoss enterprise resource planning (ERP) software. The platform is Devicewise for Factory from Telit, a company that offers IIoT modules, software and connectivity services and software.

Read more at Production Machining

This Robotic Avatar Welds, Cuts, Lifts While Controlled By A VR Operator Over 5G

📅 Date:

✍️ Author: John Koetsier

🔖 Topics: industrial robot, virtual reality, 5G, welding

🏢 Organizations: Sarcos Robotics


Guardian XT is the latest “highly dextrous mobile industrial robot” from Sarcos. Think of it as the top half of your body with super-strong arms, configurable attachments for different tasks, a built-in battery pack, cameras and sensors for eyes, and a 5G connection for taking orders from a remote operator who sees what the robot sees via a VR headset and wears a motion capture suit so the robot does what he or she does.

With different attachments on its arms, Guardian XT can weld, sand, grind, cut, inspect, and more. Over time the company will be developing more quick-swap attachments for more capabilities, just like an excavating company might purchase different buckets or attachments for its machinery as different jobs have varying requirements. Plus, there’s a three-fingered robotic hand coming that can hold and use many of the tools a human uses today.

Read more at Forbes

Medicine piece-picking robot for Hitachi Transport System

Highly-flexible production of battery packs for Webasto Group