Lama Hassan

Higher Institute for Applied Sciences and Technology

Papers

Total Citations

H-Index

About

Lama Hassan is a robotics researcher whose work focuses on bio-inspired locomotion and multi-robot coordination. Her primary research areas include bipedal walking control, central pattern generators (CPGs), and distributed consensus algorithms for non-holonomic systems. Hassan’s major contribution lies in advancing CPG-based models for dynamic bipedal walking, where she proposed a novel framework that independently controls joint torque and stiffness in real time—a departure from earlier phase-dependent neural models. This work, published in 2020, has garnered 5 citations and offers a more adaptable and efficient approach to stable robot gait generation. In her 2021 study on distributed consensus, she tackled the challenge of coordinating multiple non-holonomic mobile robots, achieving 3 citations for addressing real-world scalability issues in swarm robotics. While her citation counts are modest, Hassan’s research is notable for its practical emphasis on real-time control and system simplicity, making her contributions valuable for students and engineers seeking to bridge neural-inspired control with hardware implementation. Her work represents a promising step toward more natural and robust robotic locomotion and multi-agent collaboration.