Max Robotics — Global Service Robot Directory + US Certification

About

Emna Baklouti’s research focuses on autonomous mobile robotics, with a particular emphasis on real-time navigation, obstacle avoidance, and assistive technologies. Her major contributions lie in developing reactive control architectures that enable mobile robots—especially autonomous wheelchairs—to operate safely in dynamic, unknown 3D environments. She has pioneered hybrid approaches that couple fuzzy logic controllers with reactive DVZ (Deformable Virtual Zone) obstacle avoidance, allowing robots to simultaneously pursue goals and avoid collisions using 3D perception from sensors like the Kinect. Her work on autonomous wheelchair navigation, which integrates real-time obstacle detection with localization via particle filters, directly addresses the critical need for safe, user-friendly mobility aids for individuals with disabilities. With her most-cited paper, “Reactive control architecture for mobile robot autonomous navigation” (17 citations), and related studies on 3D virtual reality teleoperation and remote robot control, Baklouti has accumulated over 45 citations. Her research stands out for its practical, real-time implementation on platforms like the Khepera robot, bridging the gap between theoretical control algorithms and deployable assistive systems.