Industrial automation has traditionally been dominated by rigid systems: highly precise robots designed for repetitive tasks in very structured environments. However, many industrial activities require adaptability, sensitivity, and coordination—capabilities that have historically been difficult to replicate with robots.
At BINARIAL, we are working to push beyond that limit.
Our team is developing coordinated bimanual manipulation capabilities, an approach that enables robots to interact with complex objects using two manipulators in a synchronized way, similar to how a human would.
These skills are initially trained in advanced simulation environments, where systems learn to handle objects, adapt to variations, and optimize movements. Later, this knowledge is transferred to the physical world using sim2real techniques, allowing precise execution in real-world environments.
Capabilities we are already developing
Current tests show that these systems can handle tasks that were previously difficult to automate:
- Opening boxes and performing complex logistics operations
- Manipulating delicate electronic components
- High-precision pick & place operations
- Interacting with deformable materials, such as textiles
These capabilities are not isolated demonstrations. They are part of a scalable software architecture designed to allow robots to progressively acquire new manipulation skills.
Toward robots that interact with the world
The next industrial revolution will not come only from robots capable of moving autonomously. It will come from systems able to interact with the physical world with dexterity, adaptability, and environmental awareness.
Advanced manipulation is one of the key pillars to achieve this.
At BINARIAL, we continue advancing in this direction, developing technologies that enable European industry to increase productivity, flexibility, and competitiveness in a global context where technological sovereignty is increasingly important.
In the following video, we show part of the development and validation process of these bimanual manipulation capabilities.