Making Robots Explainable, Safe and Trustworthy by Prof. Dr. Lars Kunze
Safe & Secure Robotics SIG of CRANE · 58:38
Professor Lars Kunze argues that robots become safer and more trustworthy when they turn sensor data into inspectable causal models—scene graphs, causal Bayesian networks, and logged “ethical black boxes”—that both ch...