Leon Ziegler

Bielefeld University, Hochschule Bielefeld

Papers

Total Citations

H-Index

About

Leon Ziegler is a roboticist focused on enabling autonomous domestic service robots to perceive and reason about human-centric environments. His research lies at the intersection of 3D perception, spatial reasoning, and behavior modeling for service robotics. Ziegler’s most cited work, “Automated Door Detection with a 3D-Sensor” (19 citations), tackles the fundamental challenge of robots recognizing closed doors—a deceptively complex task given the variety of materials, designs, and glass inlays found in real homes. This work is critical for robots that must navigate and operate in unlabeled, dynamic spaces. Earlier, Ziegler contributed to the development of reusable behavior frameworks for domestic robots (15 citations) and pioneered an informed object search behavior (4 citations) that uses a novel spatial attention system to map visual cues in a SLAM-like manner, drastically reducing search space. By focusing on practical, perception-driven solutions for unstructured home environments, Ziegler’s work lays essential groundwork for robots that can truly share living spaces with humans, moving beyond pre-labeled worlds toward genuine autonomous understanding.