AI and software systems for perception, decision-making, control, and data processing in robotic systems.
Work can involve computer vision, sensor processing, machine learning, planning, control interfaces, and robot-software integration.
Applications include research robots, laboratory systems, autonomous platforms, and intelligent physical systems.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.