Fatemeh Nazemi
Papers
2
Total Citations
16
H-Index
2
About
Fatemeh Nazemi is a robotics researcher whose work centers on whole-body control and motion planning for humanoid robots, with a particular focus on model predictive control (MPC) and dynamic locomotion. Her major contribution lies in extending traditional MPC approaches—which typically assume flat terrain and fixed center-of-mass (CoM) height—to enable more versatile, whole-body motions. In her highly cited 2018 paper, Nazemi introduced a framework that simultaneously plans for CoM height variations and external contact forces, allowing humanoid robots to perform complex tasks such as stepping over obstacles or pushing against surfaces. This work, which has accumulated over 16 citations, is notable for bridging the gap between simplified walking models and the full-body dynamics required for real-world dexterity. By integrating contact force modulation into the predictive control loop, her research enhances robot stability and adaptability in unstructured environments. Nazemi’s contributions are particularly relevant for advancing humanoid robots in applications like disaster response and assistive robotics, where robust, dynamic motion is critical. Her work continues to influence the field of legged locomotion and whole-body control.
Research Focus
Key Achievements
Top Papers
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