Nazanin Zamani Behabadi
Papers
2
Total Citations
15
H-Index
2
About
Nazanin Zamani Behabadi is a robotics researcher whose work centers on optimization-based control, contact-rich manipulation, and human-robot interaction. Her major contributions include the development of **OpTaS**, an optimization-based task specification library for trajectory optimization and model predictive control (MPC), which provides a flexible Python framework for solving complex robotic motion planning problems in dynamic environments. She also created the **ROS-PyBullet Interface**, a simulation framework designed for reliable contact simulation, enabling robust development of contact-rich manipulation scenarios and safer human-robot interaction. Her work has already garnered attention—her OpTaS paper has accumulated 8 citations since 2023, while the ROS-PyBullet Interface paper has received 7 citations since 2022—demonstrating early impact in the robotics community. By bridging the gap between theoretical optimal control and practical robotic deployment, Behabadi’s contributions are shaping how researchers approach trajectory optimization and contact simulation, making her a rising figure in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
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