Tutabo-1: towards real-time capable AI-based safety systems for human-robot collaboration
- As industries adapt to shifting demographics and increasing demands for production efficiency, the integration of human workers and robots is becoming more widespread. In these collaborative settings, ensuring the safety of the human worker, besides the user experience, is a critical aspect. This paper builds upon a prior work that proposed an AI-based safety system to maintain a safe distance from human workers. It focuses on the real-time aspects of such a safety system, which are crucial for its effective deployment in production environments. An evaluation in a real-world scenario shows that real-time collision avoidance is achievable, and the system can reliably detect workers and stop a robot before they collide.
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