Conny Olz

Papers

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About

Conny Olz is a researcher at the forefront of explainable robotics, a field dedicated to making autonomous systems transparent and trustworthy. Their most-cited work, "Step-by-Step Task Plan Explanations Beyond Causal Links" (2022, 5 citations), addresses a critical challenge: how robots can clearly communicate the reasoning behind each step of their plans to humans. Rather than simply listing actions, Olz’s research explores richer explanatory frameworks that go beyond basic cause-and-effect links, aiming to bridge the gap between complex machine decision-making and human understanding. This contribution is foundational for developing robots that can operate safely and collaboratively in shared environments, from manufacturing floors to domestic settings. By focusing on the clarity and completeness of task plan explanations, Olz is helping to shape a future where human-robot interaction is not only efficient but also intuitive and accountable. Their work is particularly relevant for students and researchers interested in human-robot interaction, AI transparency, and the ethical deployment of autonomous systems.