AI-Driven Multi-Robot EV Battery Assembly for Smart Manufacturing

AI-Driven multi robot EV Battery Assembly in smart manufacturing : Precision & Coordination

Objective

• The proposal aims to extend automation capabilities by developing coordinated multi-robot systems that leverage AI for precision alignment, adaptive torque control, and efficient task sharing.

Description

• The rapid growth of the EV market has placed significant demands on battery manufacturing processes. Key challenges in this domain include ensuring precision in assembling modules and packs and maintaining high throughput while managing variability across battery designs. Traditional single-robot systems often lack the flexibility to handle these demands effectively, Augmented with artificial intelligence, emerging multi-robot systems offer transformative potential for this problem. However, challenges such as synchronizing multi-robot operations require further research to realize these systems' full potential.

Impact

• Efficiency Improvements: Reduce cycle times by automating complex assembly tasks with multi-robot systems, Enhanced Precision: Achieve consistent high-quality assembly through AI-augmented torque control and vision systems, Safety and Ergonomics: Mitigate repetitive strain and safety risks for human operators by minimizing manual intervention.