This technology project was funded through an ARM Institute Technology Project Call (ARM-TEC-22-01), which focused on the following special topic areas:
- Adaptive Real-Time Path Planning and Control
- Human Action & Intention Prediction
- Robot Learning
- Feature and Pose Recognition and Estimation
- Virtual Commissioning of Advanced Robotic Systems
- Artificial Intelligence (AI) and Data for Advanced Manufacturing Robotic Systems
- Multi-Agent Motion Planning and Tasking for Discreet and Continuous Manufacturing Processes
- Virtual Masking for Advanced Coating Applications.
Project Overview
This project seeks to develop adaptive path planning to ensure affordability of Ceramic Matrix Composites (CMC) components for hypersonic platforms, or an object that exceeds 5 the speed-of-sound (Mach 5 or greater). The project also seeks to integrate improvements to automated pick, place, and form for processing CMC fabric prepregs using 3D vision-based sensors to reduce the cost and variability for high-rate production of CMC structures. Benefits of this approach include having a cost-competitive alternative to titanium, higher processing efficiency, and applications for other materials and processes.