Labs and Groups

Much of the Mechanical and Aerospace Engineering Department’s research is multi-disciplinary. Our faculty and students partner with colleagues in other departments in the School of Engineering, as well as other NYU Schools.


Grad student with Caesar robot

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two drones flying in sync

Agile Robotics and Perception Lab

The agile robotics and perception lab performs fundamental and applied research in the area of robotics autonomy. The main mission of the lab is to create agile autonomous machines that can navigate all by themselves using only onboard sensors such as in unstructured, and dynamically changing environments and without relying on external infrastructure, such as GPS or motion capture systems.

Abstract image of human muscular system

Applied Dynamics and Optimization Laboratory

Our main interest is to analyze the motion and the mechanics of moving systems, to develop the way the systems are designed and controlled, and to realize the physical concepts in the real world. This includes both mechanical (e.g., robots and machinery) and biological systems (e.g., humans and animals).



Fire Research Group

Researchers at the Fire Research Group work on an online, scenario-based simulation ...


lab interior

Institute for Engineered Interfaces Laboratories

The new Institute for Engineered Interfaces (IEI) Laboratories will promote a cross-disciplinary approach to research. Faculty members from the NYU Tandon School of Engineering, the Center of Soft Matter Physics, the molecular Design Institute, as well as the medical and dental schools, work together in the IEI on joint projects focusing on colloids and membranes, sensors and diagnostics, and organic/inorganic interfaces.

walking robot

Machines in Motion

We try to understand the fundamental principles for robot locomotion and manipulation that will endow robots with the robustness and adaptability necessary to efficiently and autonomously act in an unknown and changing environment.

robot

Mechatronics Laboratory

The Mechatronics Lab is a synergistic integration of mechanical engineering, control theory, computer science, and electronics to manage complexity, uncertainty, and communication in engineered systems.