Martin Schilt

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

115

H-Index

About

Martin Schilt is a leading researcher in multi-robot systems and autonomous navigation, with a focus on robust localization and coordination in dynamic environments. His seminal work, "Feature-based multi-hypothesis localization and tracking using geometric constraints" (2003, 71 citations), introduced a powerful framework for maintaining multiple pose hypotheses simultaneously, enabling robots to handle ambiguous sensor data and occlusions—a foundational contribution to reliable mobile robot positioning. Schilt further advanced the field with his "Navigation Framework for Multiple Mobile Robots" (2003, 34 citations), which demonstrated a layered architecture for coordinating robot teams toward individual goals while ensuring safe, reactive obstacle avoidance in real-world, crowded settings. This framework was notably deployed at the Expo.02 exhibition, showcasing its practical robustness in a highly dynamic public environment. By integrating geometric constraints with multi-hypothesis tracking, Schilt’s work has provided essential tools for scalable, decentralized multi-robot systems, influencing subsequent research in autonomous logistics, search-and-rescue, and collaborative robotics. His contributions remain a key reference for engineers and scientists developing reliable, real-world navigation solutions.