Robotiq introduces IQ platform to automate robotic workcell integration

Robotiq introduced IQ, which the company said is an AI-enabled platform designed to make robotic workcell integration faster, more predictable and easier to scale.

The company said that 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. 

Shifting from manual integration to automatic integration

Robotiq said that IQ enables a much-needed shift from a manual, expert-dependent approach to automatic integration.

“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. The company said that 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, Robotiq said that engineering teams experience project delays during the discovery and design revision phases. 

Robotiq said that IQ resolves these bottlenecks by turning scattered project information into actionable insights and a coordinated digital project workflow.

With IQ, system integrators and manufacturing partners can utilize the following capabilities:

• 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.

Robotiq said that IQ is available for robotic palletizing applications, where the company said that it has already standardized the hardware components, software workflows, and deployment knowledge needed to generate validated workcell designs. Over time, Robotiq said that it plans to extend the same automatic integration model to additional robotic applications.