Billel Kellalib

University of Sciences and Technology Houari Boumediene

Papers

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About

Billel Kellalib is a robotics researcher whose work focuses on advancing the fault tolerance of autonomous mobile robots, particularly in the critical area of simultaneous localization and mapping (SLAM). His primary research contributions address a key challenge in robotics: ensuring reliable navigation even when sensors or software components fail. In his most cited work, "Towards simultaneous localization and mapping tolerant to sensors and software faults: Application to omnidirectional mobile robot" (2020, 5 citations), Kellalib proposes a novel approach that extends fault tolerance strategies directly into the SLAM framework, enabling robots to maintain autonomous navigation under faulty conditions. This builds on his earlier paper, "Sensors Faults Detection and Isolation using EKF-SLAM for a Mobile Robot" (2019, 2 citations), which employs Extended Kalman Filter-based SLAM to detect and isolate sensor faults using both proprioceptive and exteroceptive data. By developing tools that provide robust solutions in faulty situations, Kellalib’s work is paving the way for more resilient and dependable robotic systems, a crucial step for real-world deployment in dynamic or hazardous environments. His research is particularly relevant for students and engineers interested in the intersection of SLAM, sensor fusion, and fault-tolerant control.