Resilient SLAM in Challenging Settings: Recent Advancements, Open Problems, and Competitions

Simultaneous Localization and Mapping (SLAM) continues to be a cornerstone in mobile robotics. Yet, its real-world deployment remains constrained by challenges such as perceptual degradation, low-cost sensing, sensor failure, and unstructured environments. The workshop aims to bring together the European research community to address the pressing issues in developing robust and resilient SLAM systems capable of operating in degraded or degenerative conditions and challenging environments where traditional sensor modalities like vision and LiDAR may fail. Particular emphasis is placed on integrating and fusing multi-modal sensing, such as radar, inertial sensors, and cameras across various spectral bands, while also evaluating low-cost and passive configurations. Another goal is to explore the interplay between loosely- and tightly-coupled architectures, adaptive sensor fusion strategies, and redundancy mechanisms that enhance robustness to failures and support long-term autonomy.