Maxim Dupont

To work safely alongside humans, collaborative robots must continuously assess human position, predict movement, and adjust their behavior in real time. This requires high-quality annotated data that trains AI systems to recognize dynamic safety boundaries, identify proximity zones, and trigger safety measures before dangerous situations arise. Therefore, developing safety

The rapid development of automation technologies and the implementation of Industry 4.0 principles have significantly transformed modern warehouse processes. Automated Guided Vehicles (AGVs) have become an important element of intelligent logistics systems due to their ability to increase operational efficiency, reduce human resource costs, and ensure the continuity of

The modern stage of autonomous systems development requires a radical overhaul of the principles of interaction between human and machine. In such critically important areas as high-tech manufacturing, robotic medicine, busy logistical warehouses, autonomous transport, and household robotics, artificial intelligence can no longer remain a closed "black box&

Agent-based robots require an understanding of context, environmental dynamics, risks, and emerging opportunities. Development depends on high-quality annotation pipelines that capture semantic information about the world and transform raw sensor data into structured knowledge. Current robotics research relies on developing situational awareness datasets, environmental state annotation, risk assessment

The development of industrial automation and the introduction of Industry 4.0 and Industry 5.0 concepts are significantly changing approaches to human interaction with robotic systems in production. Traditional methods of controlling industrial robots, based on rigidly defined interfaces or programming in specialized languages, often limit the flexibility of

Traditional autonomous platforms perceive the surrounding space purely as a set of faceless geometric obstacles, where each wall, box, or human figure is merely a set of coordinates to be bypassed. However, the integration of the Model context protocol (MCP) fundamentally changes this approach, allowing the physical perception of the