Skip to content
‹ Back to IndustriesIndustrial IoT

Robotiq Introduces the Digital FT 300 Force Torque Sensor

Collaborative robots are often used in noisy factories, and this can cause problems with the sensors. The problem is that external noise can affect analog signals, interfering with the working of the sensor. This problem disappears when digital signals are used. That is why Robotiq has developed a digital Force Torque Sensor, called the FT…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot · ·
Share
Robotiq Introduces the Digital FT 300 Force Torque Sensor

Key takeaways

01

Collaborative robots are often used in noisy factories, and this can cause problems with the sensors.

02

The problem is that external noise can affect analog signals, interfering with the working of the sensor.

03

This problem disappears when digital signals are used.

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Collaborative robots are often used in noisy factories, and this can cause problems with the sensors. The problem is that external noise can affect analog signals, interfering with the working of the sensor. This problem disappears when digital signals are used. That is why Robotiq has developed a digital Force Torque Sensor, called the FT 300, that allows it to work better in noisy environments.

Collaborative robots are industrial robots that are capable of collaborating with humans in the workplace. This collaboration can range from being able to continue working with a person in its workspace, sometimes being able to adjust speed and actions depending on the position of the person, to hand guiding or path teaching, where a Force Torque Sensor is used so the robot “feels” the guiding hand of the human as the person teaches the robot what to do.

This type of collaboration allows the robot to learn exactly where to move, but does not in and of itself involve any sort of collaborative safety features. However, different sensor precisions can and should be used at different joints, with high precision at the robot’s wrist and low precision further down for safety. And each joint will have its own sensor to ensure a full range of movement.

Collaborative robots using Force Torque Sensors like the FT 300 allow industrial robots to grind, deburr, test products, assemble, or tend machinery. Also, getting the sensors and the end-effector from the same company means software applications are certain to work together. Robotiq also has a camera which they expect to include in the future to improve overall functionality.

As robotics improves through improved AI, robots will be able to work at higher levels of abstraction, meaning there will be less need for expertise in using and training the robots, and the robots themselves will be more collaborative. More intelligent robots means more seamless collaboration and thus more effective and efficient human and robotic workforces.

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

II
Industrial Iot
B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

Jabil's rule for factory AI: simplify and standardize the process first

Jabil's rule for factory AI: simplify and standardize the process first

Jabil's John Kraus says factory automation fails unless a process is simplified, optimized and standardized first, which makes skilled engineers a key limit on AI adoption. The same consistency problem shows up in plant data. Jabil connects all of its 30-plus US sites with local schools to build that talent.

  • 01A machine can't absorb process variation the way a veteran operator does, so designing consistency into a process is the first real step of any factory AI project.
  • 02With roughly 40% of core advanced-manufacturing skills changing within five years, adaptability and data literacy belong in engineering job specs next to controls and mechanical knowledge.
  • 03About 85% of growing jobs require a credential, and employer-preferred credentials are ones a manufacturer can rewrite itself, which makes certification design a real lever in school partnerships.

Nov 12, 2026

How Siemens, Emerson, IDEC and Weidmuller modernize SCADA

How Siemens, Emerson, IDEC and Weidmuller modernize SCADA

Product leads at Siemens, Emerson, IDEC and Weidmuller outline SCADA retrofit paths that avoid ripping out working controllers—using bridges in the HMI, SCADA software, an edge OS or a data fabric to translate legacy protocols and manage fast data locally. They also flag connector licensing and naming/retention standards as long-term cost drivers. Fort Smith, Arkansas, consolidated five Wonderware SCADA systems into one Ignition platform, paying two-thirds of the upgrade price.

  • 01The edge gateway decides most of what a legacy SCADA retrofit can do: which protocols it translates, how much high-rate data it keeps locally, and what it publishes upward.
  • 02Fort Smith paid two-thirds of the upgrade price to replace five SCADA systems with one, and got a utility where red means the same thing at every plant.
  • 03A sharper question for any SCADA bid: does the ERP and MES link run on open, documented APIs, or on connectors that carry their own license fees?

Nov 12, 2026

Lear's Orion seat plant aims to cut conversion costs 10% to 15%

Lear's Orion seat plant aims to cut conversion costs 10% to 15%

An internal team that came out of Lear's purchase of ASI Automation developed the two automated storage systems at Lear's seat plant in Orion, Michigan. The plant will make seats for three General Motors models: the Cadillac Escalade, Chevrolet Silverado and GMC Sierra.

  • 01An internal Lear team built Orion's two storage systems, and Lear expects automation at the plant to cut conversion costs 10% to 15%.
  • 02A blueprint plant still has to be validated at each new site: cycle time, ambient light, dust, workstation layout and maintenance can change how well a copied design performs.

Nov 11, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512