Max Robotics — Global Service Robot Directory + US Certification

About

Samia Sahloul is a robotics researcher specializing in autonomous mobile robot navigation, with a particular focus on enabling robots to operate effectively in partially-known and unknown environments. Her work bridges global path planning and local reactive control, developing hybrid methods that combine off-line trajectory optimization with real-time navigation adjustments. Her most cited paper (2020, 10 citations) introduces a two-phase approach that generates distance-optimal reference trajectories before deploying sliding mode control for robust tracking, a technique she further refines in her 2018 work (7 citations) using B-spline methods to build roadmaps of near-optimal paths. Sahloul also explores intelligent control strategies, as demonstrated in her comparative study (2019, 7 citations) of hybrid fuzzy logic methods for unknown environments, where she optimizes fuzzy controllers to handle uncertainty without prior maps. Her contributions are particularly valuable for applications in search-and-rescue, warehouse logistics, and autonomous exploration, where robots must navigate dynamic, unpredictable spaces. With a growing citation record and a clear focus on practical, implementable solutions, Sahloul is establishing herself as a thoughtful contributor to the field of mobile robotics, bridging theoretical control methods with real-world navigation challenges.