Robotiq IQ Platform Automates Robotic Workcell Integration
Robotic Workcell integration depends on thousands of interdependent details—customer requirements, production constraints, factory layouts, site measurements, throughput targets, and installation realities—and projects stall when that information is incomplete, fragmented, or siloed across teams. Robotiq's IQ is an AI-enabled platform that converts unstructured automation project data into validated robotic Workcell designs, coordinating engineering workflows and turning scattered project information into a single digital workflow.
The platform captures technical requirements through voice notes, legacy file uploads, and 3D site scanning, then uses machine-learning models to align manufacturer specifications, partner capabilities, and application engineering expertise. Captured 3D environment scans are converted into digital twin models, which are matched against customer cycle times and application data using standardized engineering rules to validate Workcell performance before physical deployment. IQ is available now for robotic palletizing applications, where hardware components, software workflows, and deployment knowledge have already been standardized; additional robotic applications are planned for future release.
Applications
- Automated project data capture via voice, files, and 3D scans
- Digital twin simulation and design validation
- Cycle time and throughput matching against engineering rules
- Robotic palletizing Workcell design generation
Industries
- Manufacturing
- Material Handling
- Robotics and Automation
Who It's For
- Manufacturers scaling automation without a dedicated integration team
- Operations needing faster, more predictable Workcell deployment
- Teams wanting design validation before physical installation
- 1-shift operations needing clearer financial justification for automation
Features:
- AI-enabled platform for automatic robotic Workcell integration
- Captures project data via voice notes, legacy file uploads, and 3D site scanning
- Machine-learning models align manufacturer specifications, partner capabilities, and engineering expertise
- Converts 3D environment scans into digital twin models
- Validates Workcell performance against standardized engineering rules before deployment
- Available now for robotic palletizing applications, with additional robotic applications planned
Robotiq
Quebec City, Canada
robotiq.com