NEC creates AI technology for robots to manage disorganized items – Robotics & Automation News

NEC, a prominent Japanese multinational information Technology and electronics company, has announced the development of groundbreaking AI technology for robotics. This advancement enables robots to perform precise handling operations on disorganized and disorderly placed items.

By utilizing predictive capabilities, the AI technology allows robots to navigate obstacles and anticipate the results of their actions, enabling them to tackle tasks that were previously executed manually. This innovation is set to significantly improve productivity and work styles by automating processes that were previously limited to manual labor.

The introduction of this technology comes at a time when the demand for automation in logistics warehouses and factories is on the rise due to labor shortages and other factors. Existing robotics technologies have struggled to efficiently recognize and navigate disorganized environments, limiting their applications to simple, routine tasks. NEC’s AI technology for robotics is set to revolutionize the capabilities of robots in these environments.

The AI technology is built on two key components: Spatiotemporal Prediction and Robot Motion Generation, both based on “World Models”. These components enable robots to predict and execute optimal and precise actions, making it the world’s first technology of its kind to be applied to robot operations.

This advancement allows robots to autonomously execute precise actions in optimal sequences for items of various shapes and sizes. By accurately predicting the results of robot actions and autonomously generating action sequences in real-time, the technology enables robots to perform actions such as “push” and “pull” with high precision.

Additionally, the technology allows robots to predict and navigate hidden and invisible items in disorderly work environments. This capability avoids the need for extensive labeling and learning of teaching data, allowing for efficient prediction models and optimal action generation.

NEC plans to test this technology in logistics warehouses and other manual work sites by the end of 2024, with the goal of promoting its implementation in various industries with significant automation needs. This will contribute to improved productivity and work style reform.

In summary, NEC’s development of AI technology for robotics represents a significant step forward in the automation capabilities of robots in disorganized environments. This innovation has the potential to revolutionize various industries and contribute to improved productivity and work styles.

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