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About

Danielle Nasrallah is a robotics researcher whose work centers on the modeling, control, and stabilization of mobile wheeled pendulums (MWPs)—a class of two-wheeled robots that balance like an inverted pendulum. Her major contributions lie in developing nonlinear control strategies for these inherently unstable systems, particularly in challenging environments such as inclined planes and uneven terrain. Her most-cited paper (2007, 58 citations) addresses the controllability and posture control of MWPs on inclined surfaces, establishing foundational principles for their motion. She also introduced a novel control scheme for an anti-tilting mobile robot (2006, 15 citations), simultaneously managing orientation, forward velocity, and stability. Notably, her 2005 work (12 citations) pioneered the dynamic modeling of an anti-tilting outdoor robot moving on warped, smooth surfaces, incorporating terrain geometry—a factor previously unexplored. Nasrallah’s research bridges theoretical control theory and practical robot design, with applications in agile, self-balancing mobile robots. Her achievements include advancing the understanding of MWP dynamics and demonstrating real-world viability through experimental realization of an inverted pendulum robot (2013).