Labs and Groups
Mechanical and Aerospace Engineering
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.
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).
Applied Micro-Bioengineering Laboratory
Taking advantage of state-of-art nanotechnologies and fabricating fascinating functional biomaterials and integrated biosystems, we can address numerous important problems in fundamental biology as well as clinical applications in disease diagnosis and treatment.
Dynamical Systems Laboratory
The Dynamical Systems Laboratory conducts fundamental research in the broad field of modeling and control of complex systems with specialized expertise in multiphysics modeling and marine applications of advanced/multifunctional materials. Activities span applied mathematics, design and fabrication of novel hardware, and advanced computation and experimentation.
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.
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.