Mowito develops AI-powered vision software for robotic arms, enabling them to perform complex tasks across industries such as FMCG, pharmaceuticals, and electronics. Their software addresses key challenges by allowing robots to handle delicate items in dynamic environments and operate seamlessly alongside human workers.
In this interview, Mowito discusses how their technology outperforms traditional sensor-based solutions, drives human-robot collaboration, and enhances operational efficiency. They also share insights into their latest innovations, including AI models that teach robots through human demonstrations and mobile robotic arms for flexible automation in diverse settings.
Tell us about Mowito and which specific industry challenges were you aiming to solve with your software?
Mowito is a cutting-edge technology company that develops AI-powered vision software to enable robotic arms to perform complex tasks in factories and warehouses. Founded in 2021, Mowito stands out for providing software that allows robotic arms to handle a diverse range of items, including fresh produce, pharmaceuticals, FMCG, CPG, cosmetics, and electronics.
Our intelligent software solves key automation challenges by enabling robotic arms to handle unseen or delicate items without causing damage and to operate seamlessly in unstructured and dynamic environments. While many companies offer advanced hardware, they often lack the software required for real-time adaptability. Mowito’s solution ensures smooth operations in complex scenarios—whether the items are in a heap or on conveyors or when the robotic arm is in motion—ultimately boosting throughput and optimizing equipment usage. Our solution not only enhances operational efficiency but also provides businesses with the flexibility to easily scale and adapt to evolving production demands.
How do AI-powered vision systems outperform traditional sensor-based solutions in identifying and addressing operational challenges?
AI-powered vision systems surpass traditional sensor-based solutions by offering greater accuracy, adaptability, and insight into operational processes. Unlike conventional sensors, which rely on predefined parameters and can struggle with unstructured and dynamic environments, AI vision systems use advanced algorithms to recognize patterns, analyze complex visual data, and make real-time decisions. This allows them to handle unexpected scenarios, such as identifying defects or irregularities and handling moving objects or objects placed in a clutter, without the need for manual intervention or additional hardware. Further, AI-powered systems can continuously learn and improve from the data they collect, making them more efficient and capable of solving operational issues in diverse and evolving environments.
Collaboration between humans and robots is becoming more common. How does Mowito ensure seamless human-robot interaction in dynamic industrial settings?
Mowito ensures seamless human-robot interaction in dynamic industrial settings by designing its AI-powered vision systems with intuitive interfaces and robust safety features. Our software enables robots to operate safely alongside human workers, utilizing real-time data processing and advanced machine learning algorithms to adapt to changes in the environment. The no-code interface allows operators to easily configure and reconfigure robotic systems based on specific tasks, minimizing the need for specialized training. Furthermore, our solutions incorporate sensors and feedback mechanisms that enable robots to recognize human presence and adjust their actions accordingly, fostering a collaborative workspace where human workers can confidently interact with robotic systems without disrupting productivity.
What role do you see robotics and AI playing in shaping the future of manufacturing and supply chain management?
Robotics and AI are poised to reshape the future of manufacturing and supply chain management by driving efficiency, flexibility, and precision. AI-powered robots will increasingly take on complex tasks like assembling intricate products and handling fragile items with greater speed and accuracy. In supply chains, AI can enhance operations through predictive analytics, improving demand forecasting, real-time inventory management, and logistics planning. Robotics will also reduce labor shortages by automating repetitive or hazardous tasks, allowing human workers to focus on higher-value activities.
Mowito is at the forefront of this transformation, developing advanced software that empowers robotic arms to work seamlessly alongside humans. Our software minimizes the need for extensive infrastructure and reduces the time required to configure robots for different tasks. Additionally, it makes robotic arms adaptable to changes in their environment, such as object location, shape, and size, allowing them to operate as robustly as human workers, but with higher precision and flexibility.
As robotics and AI technologies advance, what are some of the innovations that Mowito is focusing on to stay ahead in the industry?
Mowito is focusing on several innovations to stay ahead in the robotics and AI industry. One key area is the advancement of AI models that enable robotic arms to learn tasks through demonstrations performed by humans. This approach enables robotic arms to do more complicated tasks and expands the range of applications that can be automated by robotic systems. Additionally, we are expanding the capabilities of mobile robotic arms that can navigate on wheels or legs, allowing them to perform a broader range of tasks in various environments. Following our successful deployments in machine tending, we are also working on developing applications for sortation in warehouses and automating processes inside chemical labs. These innovations are not only driving Mowito’s growth but also positioning us to effectively address the evolving needs of the manufacturing and logistics sectors.
