Delta Electronics has showcased a new generation of industrial automation technologies at Automation Taipei 2026, highlighting the growing integration of artificial intelligence, robotics, digital twins, and advanced machine control. The company presented its Embodied AI Dual-Arm Robot Platform together with AI-enhanced production-line digital twins, reflecting a broader shift from conventional automation toward more adaptive and autonomous manufacturing.

The Embodied AI Dual-Arm Robot Platform combines AI models with robotic control, allowing robots to learn tasks, interpret information from multiple inputs, execute operations, and make corrections during operation. Delta is targeting applications such as high-mix, low-volume production, electronics manufacturing, and AI server assembly, where traditional fixed-sequence automation can become difficult to adapt.

The platform uses an AI robotic control architecture with NVIDIA Jetson AGX Orin, providing up to 275 TOPS of AI computing performance. Real-time 3D environmental mapping and dynamic obstacle avoidance are supported through NVIDIA robotics technologies. This approach could make industrial robots more flexible when production requirements change frequently.

Another important development is Delta’s AI-enhanced production-line digital twin technology. The system combines Delta’s DIATwin virtual machine development platform with NVIDIA Omniverse technologies to simulate production processes before physical deployment. Engineers can use virtual models to validate machine movements, optimize production paths, and generate machine recipes before equipment is introduced to the factory floor.

Delta also reported progress in AI-based automated optical inspection. By using NVIDIA’s defect image generation technology, the company said it reduced the preparation time for new defect-detection models from approximately three months to two weeks. The company also reported a 17% improvement in AOI rates in its cited deployments.

For PLC, PAC, motion-control, and industrial networking engineers, the development is significant because AI is increasingly moving closer to the control layer. Instead of operating as a separate software system, AI is becoming connected to robots, controllers, sensors, machine vision, and production data.

The trend also has implications for brownfield factories. Future automation projects may not require completely replacing existing PLC and control architectures. Instead, AI systems, digital twins, industrial PCs, and advanced robotics can increasingly be integrated with established automation platforms.

Delta’s latest demonstration therefore represents more than a robotics showcase. It reflects a wider industry movement toward flexible automation, intelligent control, virtual commissioning, and autonomous production. As manufacturers face labor shortages, product customization, and shorter production cycles, the ability to combine PLC-based control with AI and digital engineering could become an increasingly important competitive advantage.