Why Closed-Loop Frameworks Are Key to Next-Gen Automation
Robotics has become a staple of the manufacturing sector, essential for maximizing productivity, ensuring quality, and reducing labor costs. As valuable as robotics are, many solutions fall short of the time-to-impact metric that manufacturers seek. Enter Artificial Intelligence (AI)-based, closed-loop automation.
Closed-loop, AI software can be thought of as the facilitator of robotics evolution. It ensures that robots adapt to their environment as conditions fluctuate. Without it, industrial robots will be stuck in the past, unable to achieve true digital transformation.
After adopting closed-loop AI software for industrial robots, manufacturers can expect the following benefits:
Closed-loop automation is AI-driven robotics that learns and adapts from interactions. It improves task performance, reduces errors, and enables automation in unstructured environments, making previously cost-inefficient tasks more viable for production plants.
Using sensors, robots gather environmental data to improve situational awareness.
Robots learn tasks through simple natural language instructions or demonstration-based training, enabling them to adapt to the environment.
AI-based logic helps robots make decisions and adapt to events in real time.
Robots execute tasks by precisely controlling their movements to complete actions.
For a deeper discussion on how AI is changing the way robotics are used and ABI Research’s expectations for user adoption, download the whitepaper.
