by Gary Mintchell | Jun 2, 2026 | Robots, Software, Technology
Manufacturers have lots of data. Every day brings new technologies for gathering and storing it. The right question probes into what specific problem can be solved. I sat in the world’s shortest press conference (not complaining, even though they blew off my question) with a company I don’t know who asked the question—how can we better integrate the myriad details required to build the best robotic workcell.
The company is called Robotiq. Based in Quebec City, Canada, introduced IQ, an AI-enabled platform designed to make robotic Workcell integration faster, more predictable, and easier to scale. IQ captures unstructured automation project data, coordinates engineering workflows, and helps partners generate validated Workcell designs based on real customer inputs and historical deployment data from thousands of previous factory installations.
“AI” can be a generic marketing buzzword. I asked for a definition, but the press conference closed before they got to it. Reading through the press release, the definition apparently involves machine learning algorithms. Fair enough.
“Automation does not scale when integration remains manual,” said Samuel Bouchard, CEO of Robotiq. “With IQ, we are moving from manually engineering robotic systems one project at a time to automatically generating Workcells from real customer inputs, Robotiq components, AI, and proven know-how from thousands of past projects. For manufacturers, this means a clearer path to automation: fewer surprises, faster decisions, more predictable performance, and better financial justification, including in many 1-shift operations.”
Robotic Workcell integration depends on thousands of small details. Customer requirements, production constraints, factory floor layouts, site measurements, throughput targets, product variants, and local installation realities all affect whether a project succeeds. When that data is incomplete, fragmented or siloed, engineering teams experience project delays during the discovery and design revision phases.
The IQ solution includes:
- Automated data capture: Extract technical requirements via voice notes, legacy file uploads, and 3D site scanning.
- AI-enabled project coordination: Machine-learning models align manufacturer specifications, partner capabilities, and Robotiq application engineering expertise.
- Simulation and design validation: 3D environment scans are converted into digital twin models, matching customer cycle times and application data against standardized engineering rules to validate Workcell performance before physical deployment.
IQ is available today for robotic palletizing applications, where Robotiq has already standardized the hardware components, software workflows, and deployment knowledge needed to generate validated Workcell designs. Over time, Robotiq plans to extend the same Automatic Integration model to additional robotic applications.
To commission robotic systems successfully, manufacturers need local system integration support, application expertise, and reliable service. Robotiq partners play that role. IQ provides partners with a repeatable digital workflow to capture project information, apply Robotiq deployment expertise, collaborate with customers and Robotiq experts, and support Workcells more consistently after installation.
“IQ does not replace partner expertise,” Bouchard added. “It amplifies this expertise to accelerate and scale projects. Manufacturers need local partners who understand their production reality and can provide the installation capacity and support needed to keep lines running. IQ gives those partners better information, better coordination, and a clearer path from opportunity to running system.”
by Gary Mintchell | May 18, 2026 | Automation, Events, Robots
Few trade show/conferences exist in our market anymore. I attend only a few of them. I will be at Automate at Chicago’s McCormick Place next month. If you’d like to meet for a coffee and chat while I’m there, send me a note.
I will see Keegan (didn’t get the proper spelling). I walk into a Starbucks in Elgin, IL Thursday for my doppio espresso with cinnamon and spot a guy wearing a Cognex shirt. Turns out he works for them and will be at Automate. They have lots of new products to show, he told me. Stop by and say hi (not a paid announcement).
Jeff Burnstein, President, Association for Advancing Automation (A3), agreed to talk with me about the upcoming show.
As an aside, you should get used to the term “physical AI” replacing the old term “robotics.” I’m hearing that often.
The first thing Burnstein promoted for the show was humanoid robots. Check out the pavilion and forum that Nvidia sponsoring. A3 have an annual conference on humanoids. There will be much to discuss.
I asked about applications. I talked with the general manager of a company division designing and building humanoids. I asked him why. His reply, “These are build for bench assembly tasks, and existing benches are designed for humans. Rather than rebuild an assembly station, just buy a robot built to human dimensions.”
Back to Burnstein, “Companies are putting the technology out there hoping for customers to find applications.” I may have written recently this idea concerning the AI LLM product mindset—instead of searching for a customer need and designing a solution, we produce a solution and hope that customers will discover applications. I’m interested in pursuing these inquiries during my time at the show.
Burnstein further commented, “AI is moving more rapidly than we expected.”
He told me that A3, the organization, is doing a lot with government, testifying before Congress and working with agencies. An official of the US Dept. Of Commerce will be speaking at Automate. A3 are pushing for a government central strategy for development and application of robots, to incentivize adoption. This should be a national priority since right now China dwarfs us in the manufacture and application of robots. Further, government also as a major user, lots of applications. Part of the personal initiatives is sales. Government can also stimulate companies to build robots here.
Why the push on robots? Major shortage of workers. Burnstein told me currently the number is 438K. Analysts state the shortage could be 1.38M by 2033.
A3 encourages government to invest in university and private research. This was an interesting comment given I’d just read a blog post by Kevin Meyer regarding the current administration efforts to cut such funding.
He concluded with a request for people to accelerate robotic safety standards for humanoids.
Automate 2026 At-a-Glance
- North America’s largest robotics and automation event
- June 22-25 at McCormick Place, Chicago, IL
- Free to the public (ages 12 and up)
- 50,000+ attendees, 1,000 exhibitors, 450,000 sq. ft. show floor
- Automate brings together automation professionals from around the world to explore the latest technologies in robotics, artificial intelligence, machine vision, motion control, and industrial automation.
- For more information and to register for Automate 2026, visit automateshow.com.
Facts about A3:
For more than five decades, the Robotic Industries Association (RIA), AIA-Advancing Vision + Imaging (AIA), and the Motion Control and Motors Association (MCMA), along with A3 Mexico, have played a key role in helping automation technologies become among the most critical tools of the 21st Century. As these technologies have converged, our association has had a convergence of its own. We are now the Association for Advancing Automation (A3), one trade group for the entire automation ecosystem.
by Gary Mintchell | Apr 29, 2026 | Robots
Robotics pioneer ABB has released a new cobot family. The news in brief:
- New, high-speed, higher payload PoWa cobot family meets need for industrial-grade performance in collaborative robotics, lowering the barrier to automation for both SMEs and large enterprises
- Payloads from 7kg to 30kg, best-in-class top speed of 5.8 m/s, longest reach and highest arm load on the market
- Powered by ABB OmniCore controller platform and seamlessly integrated with ABB Robotics’ suite of software tools
ABB Robotics is combining the flexibility of cobots with higher payloads and performance, with the launch of its new PoWa cobot family into the rapidly expanding global collaborative robot market, which ABB Robotics estimates will grow by 20 percent annually through to 2028.
“Cobots are growing significantly faster than traditional industrial robots, driven by demands from both small and midsized companies starting their automation journey as well as large enterprises,” said Andrea Cassoni, Head of Collaborative Robots at ABB Robotics. “These customers are seeking higher speeds and payloads, but also greater ease of use, and compact designs. Established manufacturers want to automate heavier, fast cycle applications, without the complexity and operational rigidity of traditional industrial robots. We are meeting these needs with the global launch of our high-speed PoWa cobot family – a name that symbolizes its powerful, industrial-grade performance in a compact collaborative robot form.”
The new PoWa family addresses a long‑standing gap in the market between traditional cobots, that often lack the speed and payload required for industrial applications, and conventional industrial robots, which are designed for highly specialized, large-scale automation environments, going beyond the needs of many collaborative tasks.
PoWa extends ABB Robotics’ comprehensive cobot offer with industrial-grade performance including six different payload categories, from 7kg to 30kg, the longest reach and highest arm load on the market and best-in-class top speed of up to 5.8 m/s.
Purpose-built for compact environments and ideally suited for applications such as high-speed machine tending, palletizing, screwdriving and arcwelding, PoWa enables manufacturers to automate heavier and faster processes, while maintaining the flexibility, ease of use and compact footprint of collaborative robotics.
PoWa cobots are exceptionally easy to use, through programmable buttons on the arm-side interface and no-code programming and are compatible with an extensive ecosystem of third-party accessories. PoWa can be unboxed and operational within an hour and enables seamless plug-and-play with a wide range of tools, blending industrial-grade connectivity and performance with collaborative robot flexibility.
Powered by the ABB OmniCore controller platform, the new PoWa cobots deliver best-in-class motion control, speed, and precision and can be integrated with ABB Robotics’ expanding suite of AI-powered software, including Robot Studio and Wizard Easy Programming, enabling intuitive programming, fast deployment and maximum uptime.
Ensuring collaborative robots can do more things, in more places, and do it faster, safer and smarter is part of ABB Robotics vision for more autonomous and versatile robotics (AVRTM). By developing a new generation of intelligent, flexible, adaptative, and collaborative multi-skilled robots, ABB Robotics furthers robots’ ability to learn, understand and plan independently, giving them greater autonomy and versatility.
by Gary Mintchell | Mar 30, 2026 | Business, Capital Projects, Robots
Fanuc announced in recent news a significant investment to create production capacity for robot manufacturing in the US.
We experienced more announcements regarding investments in manufacturing and infrastructure in the US during the past 10 years than just about any other flurry of announcements. Most never came to pass. This thought includes the multi-billions announced for building out data center infrastructure to power AI LLMs. (Most of those will never be built as this technology levels off.)
One of my favorite analysts, Samantha Mou, Senior Analyst at market intelligence firm Interact Analysis provides comments regarding the announcement which I find relevant.
- FANUC America’s $90M investment is part of a growing trend where robot manufacturers are bringing production closer to key markets, and the US is becoming a critical destination. Interact Analysis expects the industrial robot market here to see steady growth over the next five years, driven by reshoring initiatives and policies like tariffs, which are forcing robot makers to rethink their manufacturing strategies.
- FANUC isn’t alone in this shift. Just last year, Yaskawa attracted attention by announcing plans for US-based production for robots and motion control components. As the largest robot supplier in the U.S. by market share, FANUC’s push toward local production aligns naturally with its market leadership and customer proximity strategy.
- That said, questions remain about the depth of localization. It is possible that the new facility will primarily support assembly instead of full-scale manufacturing. Given that FANUC produces its core motion control components in Japan, and with limited domestic supply of key parts such as precision gearboxes in the US, it is likely that critical components will continue to be imported, with final robot assembly conducted locally.
I’m always happy to see news of investment in manufacturing. But experience has made me skeptical about the real impact. We can hope.
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by Gary Mintchell | Mar 18, 2026 | Generative AI, Robots
Now that we’re learning more about Large Language Model AI, users have discovered that what the model is trained on is one important key. That makes this robot AI trainer intriguing.
Universal Robots and Scale AI Launch Imitation Learning System to Accelerate AI Model Training, Bridging the ’Lab-to-Factory’ Gap
Universal Robots (UR) unveiled March 16 the UR AI Trainer at GTC 2026 in Silicon Valley. Developed in collaboration with Scale AI, the AI Trainer marks a tectonic shift as robots move from pre-programmed applications to fully AI-driven tasks. These systems are powered by robust data generated in AI training cells where robots imitate humans.
“Our customers, ranging from large enterprises to AI research labs, are no longer just asking for AI features,” said Anders Beck, VP of AI Robotics Products at Universal Robots. “They need a way to collect high-fidelity, synchronized robot and vision data to train AI models on the same robots they intend to deploy. Our AI Trainer is the industry’s first direct lab-to-factory solution for AI model training.”
Alongside the new AI Trainer, Universal Robots’ GTC booth will showcase a state-of-the-art robotic foundation model from Generalist AI, a UR preferred model partner. Leveraging this model, two UR robots will complete a complex smartphone packaging task, previously impossible without recent advances in the field of Physical AI.
AI robotics training is often hindered by fragmented hardware and low-fidelity data capture. Much of today’s training data is collected on research robots not suited for production environments, and many systems rely only on visual feedback, making delicate or contact-rich tasks difficult. “The AI Trainer directly addresses these barriers,” said Beck. “By utilizing our unique Direct Torque Control and force feedback features, we give developers direct influence over how the robot physically interacts with the world, training on the same robust hardware used in over 100,000 industrial deployments.”
The AI Trainer allows human operators to guide UR robots through tasks in a leader-follower setup while automatically capturing high-quality multimodal data for robotics AI development. Operators physically guide a “leader” robot through a task while a synchronized “follower” robot mirrors the motion in real time. During each demonstration, the system records synchronized motion, force, and visual data, producing the structured datasets required to train Vision-Language-Action (VLA).
Deploying on UR’s AI Accelerator platform, the UR AI Trainer combines UR robots with Scale AI software to enable data capture on UR robots in production and at scale creating continuous feedback that drives ongoing optimization of physical AI systems.
With GTC as the official launch pad, attendees will be able to experience the system first-hand at UR’s booth as they guide two UR3e ‘leader’ robots providing haptic input to control two UR7e ’follower’ robots. The setup enables visitors to perform an advanced smartphone packaging task with haptic feedback for imitation learning and VLA training, with demonstration data recorded in real time on Scale’s stack and replayable directly on the AI Trainer.
The process of capturing robot training data for AI models is further showcased through a demo that illustrates the same smartphone packaging task – just trained virtually: Built in NVIDIA Omniverse and leveraging Isaac Sim, the simulated setup allows attendees to control a virtual bi-manual UR3e system with real-time haptic feedback using two Haply Inverse3 devices as ‘leaders’, providing a physics-accurate simulation.
Universal Robots is also exploring the use of the NVIDIA Physical AI Data Factory Blueprint to automate and scale its synthetic data generation, transforming world-scale compute into a production engine for high-quality robotic training data.
Complementing the two data-capture demonstrations, Generalist’s showcase highlights how advances in data collection and AI models translate into real-world robotic performance. In the first public demonstration of Generalist’s embodied foundation models, two UR7e robots autonomously execute a complex smartphone packaging task, demonstrating dexterity, coordination, and contact-rich manipulation in a real-world environment. The demonstration shows how scaled, high-quality training data combined with frontier model architectures can enable robust physical AI systems beyond the lab.
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by Gary Mintchell | Mar 18, 2026 | Education, Robots, Workforce
Here’s a free learning event in Reno concerning the value of robotics for expanding your manufacturing productivity.
As Northern Nevada’s manufacturing sector continues its rapid expansion, the region’s employers are confronting a growing challenge: a labor market that has nearly run out of slack. OnRobot will host the “Build your Automation Roadmap” event in Reno on April 9th, bringing practical automation solutions directly to the region’s manufacturing community.
The free, in-person event is designed for manufacturers in sectors such as metal fabrication, CNC machining, electronics, aerospace, food & beverage, and industrial equipment manufacturing – industries that form the backbone of the Reno manufacturing economy and are among the hardest hit by ongoing labor shortages.
Event Snapshot:
Build Your Automation Roadmap: Industrial Robots + Tooling
A hands-on event featuring live FANUC robot demonstrations, expert-led workshops, and real-world automation use cases.
April 9th, 2026, 12:00pm–4:00pm PT
Grand Sierra Resort, 2500 East 2nd St, Reno, NV
Northern Nevada’s manufacturing sector has grown faster than its available workforce can keep pace with unemployment rates at just 4.0%, near the lowest levels on record – leaving manufacturers with a shrinking pool of available workers even as industrial demand continues to grow.
A recent report from the University of Nevada, Reno, commissioned by the Nevada Office of Workforce Innovation, identified workforce gaps across every regional economic development authority in the state, with fabricated metal manufacturing, precision machining, and electronics among the most acutely affected sectors in the Reno area.
“Northern Nevada has become one of the most dynamic manufacturing regions in the country, but that growth is creating real pressure on employers who simply can’t hire fast enough to keep up,” said Kristian Hulgard, General Manager, Americas, at OnRobot. “Automation isn’t a future consideration for manufacturers here, it’s an immediate operational need. This event is about giving the region’s manufacturers a clear, practical path forward.”
At the event, attendees will see live demonstrations of FANUC robots equipped with OnRobot end-of-arm tooling for common applications such as machine tending, material handling, assembly, packaging, and quality inspection. Automation experts, that help manufacturers move from curiosity to confident implementation, will be on hand to share real-world experience in robotics, tooling, and integration.
Featured Speakers and Sessions:
Kristian Hulgard, General Manager, Americas, OnRobot – Opening keynote on macrotrends affecting U.S. automation growth, why adoption is accelerating across manufacturing, and what it means for Nevada operations.
Brian La Plante, District Manager, FANUC America – Live demonstrations of FANUC robots, identifying the practical approach to the automation journey.
Marc Magarin, President and Co-Founder, Nevatio Engineering – Learn how the right components, sourcing strategy, and distribution support keep automation projects on track.
Registration incl. lunch is free, but space is limited.
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