Image source: Public Domain
Vention, the company behind the AI-powered software and hardware platform for automation and robotics, announced the launch of GRIIP (Generalized Robotic Industrial Intelligence Pipeline), an end-to-end physical AI pipeline that enables deployment of autonomous robot cells in highly unstructured manufacturing environments. GRIIP represents a fundamental shift from task-specific robotics to generalized intelligence that scales across applications.
The GRIIP Pipeline: End-to-End Intelligence
GRIIP delivers a unified pipeline from perception to motion by integrating Vention's proprietary models with NVIDIA Isaac open models, specifically NVIDIA FoundationStereo for stereo matching, and NVIDIA FoundationPose for pose estimation. The pipeline automatically handles scene digitalization and calibration, object detection and segmentation, 6DOF pose estimation, grasp point evaluation, and collision-free path planning, adapting to actual conditions without manual configuration.
The architecture continuously evolves by leveraging the latest physical AI models, improving performance over time without hardware upgrades or manual intervention. Users can update their AI stack via over-the-air updates through MachineMotion AI either via WiFi or built-in LTE connectivity.
Production-Ready Performance and Proven Reliability
GRIIP delivers production-grade results with validated performance:
Scaling Automation Beyond Single Tasks
GRIIP deploys the same technology across multiple tasks and use cases within a factory, including bin picking, machine tending, conveyor pick-and-place, kitting, depalletizing, and sanding. Running on Vention's MachineMotion AI controller, powered by NVIDIA Jetson, GRIIP can convert existing traditionally programmed robotic applications to autonomous operations. This enables faster project delivery, higher ROI, and a clear upgrade path for automation infrastructure.
By subscribing, you agree to receive email related to content and products. You unsubscribe at any time.
Copyright 2026, AI Reporter America All rights reserved.