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

ORAFOL halved lens inspection time using Zebra AI machine vision

ORAFOL halved lens inspection time using Zebra AI machine vision

ORAFOL Fresnel Optics automated inspection of its Fresnel lenses with Zebra AI machine vision, and Zebra reports that inspection time fell by half. A standard camera could be used, as Zebra's Aurora software is compatible with any camera. A bespoke optical turret had to be developed for the complex microstructures.

  • 01Zebra says Aurora works with any camera and that a standard camera was sufficient; the bespoke work was a custom optical turret for the microstructures.
  • 02Writing tolerances into the inspection system turns accept-or-reject into a fixed rule. That rule drives the consistency gain, which matters as much as the speed.
  • 03The sharper scoping question for small, finely structured parts is who designs the fixture and lighting, and how that is priced separately from software and camera hardware.

Nov 1, 2026

Qbic lists, adds cloud plan for ARM office devices

Qbic lists, adds cloud plan for ARM office devices

Taiwanese industrial PC maker Qbic Technology began trading and closed its first session up more than 10%. Its products range from meeting-room booking panels to smart access control and digital signage. The company is building a Cloud Remote Device Management platform so it sells managed devices along with the hardware. That puts a fleet console on the buyer's checklist.

  • 01One booking panel outside a conference room is a gadget; every panel, door reader and sign across a building is a fleet, and Qbic wants to be the one watching it.

Oct 31, 2026

62% of summit respondents pick training and digital work instructions

62% of summit respondents pick training and digital work instructions

At the Connected Worker Manufacturing Summit, 62% of polled attendees ranked training, skills or digital work instructions first. Lincoln International reads the market as moving toward AI-driven execution. That puts more weight on competency data and measurable outcomes like downtime and labor productivity.

  • 01Once skills data decides who gets scheduled on a line or cleared to run a machine, a training-completion checkbox stops being good enough.
  • 0256% of summit respondents point to reduced downtime or better labor productivity as the biggest help today, so connected-worker business cases will likely need to be framed in those plant metrics rather than feature lists.
  • 03Useful vendor questions: what legacy workflow does it replace, and how will skills data connect to ERP, EAM, MES and HCM systems?

Oct 30, 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