Robotics

skills

Robotic innovation is designed between precision and embedded intelligence.

OSE_ Engineering develops numerical models and control algorithms to design, simulate and optimize the behavior of robotic systems. By combining artificial intelligence, vision and dynamic simulation, our teams design solutions capable of improving the precision, autonomy and security of automated operations.

Advanced automation

Development of algorithms for autonomous navigation, manipulation of complex objects and decision making in dynamic environments.

Human-machine interaction

Design of intuitive interfaces and collaborative systems promoting synergy between human operators and robots.

Machine learning

Use of artificial intelligence models allowing robots to improve their performance and precision during operations.

System resilience

Strengthening robustness in the face of errors, breakdowns or unexpected events to guarantee the continuity of missions.

Collaborative robotics

Coordination of several robots to jointly execute complex tasks or tasks spread over different environments.

Continuous learning

Constant updating of models based on data collected in the field in order to adapt behaviors and optimize performance.