An AI-powered design studio for 4D vision guided robotics (VGR), Apera Forge now streamlines VGR cell design, simulation, and training for de-racking applications—powering heavy manufacturers, including automotive OEMs and Tier 1 suppliers.
Apera AI, the leader in 4D Vision for industrial robotic automation, announced a significant update to Apera Forge, its web-based design and AI training studio that simplifies 4D vision-guided robotic projects. The latest release introduces powerful new features to support advanced robotic cell design, end-of-arm-tooling (EOAT) mounted camera configurations, and full simulation and training for de-racking applications—dramatically expanding Forge’s usability across real-world industrial automation environments.
“We give industrial robots 20/20 vision to unlock new levels of reliability and productivity in manufacturing,” said Sina Afrooze, CEO and Founder at Apera AI. “This release marks a new phase for Forge. We’re not only expanding simulation realism and flexibility for advance cell design—we’re also empowering automation teams to train robust AI models for de-racking and EOAT-mounted vision setups, entirely on their own. It’s another step forward in making advanced robotic automation faster, more accessible, and predictable.”
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Apera Forge is a browser-based, no-code simulation and AI training platform that enables manufacturers and integrators to build and validate vision-guided robotic applications—without the need for upfront investment in hardware. By simulating robot, gripper, camera, part geometry, and cell environment within minutes, Forge reduces what traditionally takes weeks or months to mere hours. Trained AI models achieve greater than 99.9% reliability in object recognition and task performance, with complete vision programs delivered in 24–48 hours, ready for on-site deployment.
New in This Forge Release
Advanced Cell Design Capabilities
Forge now supports advanced cell design with greater flexibility—tuning camera placement, bin positioning, and multiple obstacles to better match real-world layouts and improve simulation results.
- Users can now arbitrarily position cameras and bins and use reference cell CAD files to achieve more accurate cell visualization and scaling.
• Apera Forge now supports integrated Obstacle Autopilot for enhanced robot navigation and collision avoidance in simulations.
• Users can now import complete Apera Vue cell configurations, including bins, search regions, obstacles, tables, and calibrated cameras.
EOAT-Mounted (Eye-in-Hand) Vision for De-racking
In addition to Fixed Mount (Eye-to-Hand) configurations, Forge now supports EOAT-Mounted (Eye-in-Hand) vision setups. This simplifies the design process by allowing users to preview and refine camera positioning directly in Forge, streamlining design and validation for systems where cameras are mounted directly on end-of-arm tooling (EOAT).
- Users can visually determine ideal camera placement by previewing camera views and ensuring clear, unobstructed vision of parts.
De-Racking Simulation and Training
Forge now supports full simulation and AI training for de-racking applications, where consistent spacing, orientation, and rack structure are critical to effective part recognition and picking.
- Users can now precisely specify de-racking parameters, including initial positions, rack axes, part spacing, and part count.
Training robust AI vision models in Forge without support from Apera engineers represents a major time-saver for integrators and industrial manufacturers.
“De-racking is a highly common application in the automotive sector,” said Jamie Westell, Director of Engineering at Apera AI. “With our AI-powered 4D Vision deployed at the top 6 automotive OEMs in North America, this Forge release empowers their maintenance engineering managers to rapidly deploy vision-guided robotic automation across their plant for de-racking vehicle hoods, doors, body panels, and other racked parts.”
Apera AI makes factories more productive by empowering robots with human-like vision and advanced artificial intelligence, dramatically increasing speed and accuracy. Challenging applications such as bin picking, sorting, packaging, de-racking, and assembly are now open to fast, precise, and reliable automation.
Source: PRNewswire
