Reasoning and Acting Technologies
We develop technologies that enable intelligent decision-making and the orchestration of actions such as optimal scheduling, path planning, and system control.
We focus on:
Planning & Scheduling
We develop planning and scheduling technologies that efficiently organize and optimize tasks and activities to achieve mission goals within given constraints.
Intelligent AI agents continuously analyze the full production process and collaborate to optimize the scheduling of all tasks.
This way, we increase efficiency, flexibility, and responsiveness in complex industrial environments.
Path planning and control
Our path planning technologies generate trajectories that guide systems like AGVs safely and efficiently to their target positions, considering all system and environmental constraints.
Control technologies execute these trajectories by dynamically adjusting the system state.
We research hybrid controllers that combine optimization-based and learning-based approaches, leveraging their strengths to deliver robust, efficient, and adaptive control solutions.
Fault Diagnosis and Prognosis
We develop fault diagnosis and prognostics technologies that detect failures, identify their root causes, and predict future defects and remaining useful life (RUL).
Our causal and agent-based AI methods automatically identify relationships and detect complex data patterns, enabling near-real-time root cause analysis, both locally and remotely.
By combining vibration and load data, we make RUL algorithms more robust, accurate, and widely applicable, accelerating maintenance, reducing costs, and improving reliability.
Would you like more information?
Serving a variety of sectors