Built by warehouses, for warehouses

Yango Robotics was born from a simple yet ambitious challenge: to make warehouses smarter and more efficient
Our journey began with the introduction of conveyor systems to streamline workflows and improve operational speed. But we didn’t stop there. By meticulously analyzing every stage of warehouse processes, we identified tasks that could be automated and replaced manual labor with precision-engineered robots built to solve real-world challenges
Our success comes from a team of top engineers, AI specialists, and robotics experts pushing automation forward 

OUR MISSION

Designing robotic solutions to empower humans

We develop AI-driven vision systems, machine learning, and advanced gripping technologies that enable robots to adapt, learn, and optimize performance in real time
Our success comes from a team of top engineers, AI specialists, and robotics experts pushing automation forward

OUR VISION

We want to redefine the future of warehouse automation by building intelligent, adaptable systems that respond to the ever-evolving challenges and opportunities of modern industry
We develop AI-driven vision systems, machine learning, and advanced gripping technologies that enable robots to adapt, learn, and optimize performance in real time
Our robotics solutions leverage advanced vision systems, sensor fusion, and adaptive algorithms to optimize warehouse workflows, from picking and sorting to inventory tracking and movement. These technologies enable smarter, faster, and more reliable automation, adapting to dynamic environments and evolving operational needs

WHY PICK WITH US?

Beyond technology, our approach is deeply collaborative. We work closely with businesses to tailor robotics solutions that address specific challenges, ensuring they are not just automation tools but strategic assets. With plug-and-play integration, real-time adaptability, and continuous software updates, Yango Robotics empowers warehouses to scale, optimize, and stay ahead in an increasingly automated world.
Tue Mar 04 2025 11:38:44 GMT+0300 (Moscow Standard Time)