Labs and Groups

ARPL performs fundamental and applied research in robot autonomy. The lab develops agile autonomous drones that can navigate on their own using only onboard sensors without relying on maps, GPS or motion capture systems.

The AI4CE Lab aims to advance Robotics and AI in areas such as localization, mapping, navigation, mobile manipulation, and scene understanding to address infrastructure challenges on Earth and beyond, including construction robotics, manufacturing automation, and autonomous vehicles.

We aim to establish mathematical models, quantitative criteria, and algorithmic/computational foundations toward their implementations in robotics (for design and control), biomechanical systems (for prediction and analysis), and their intersections such as lower-body wearable robots.

Taking advantage of state-of-art nanotechnologies and fabricating fascinating functional biomaterials and integrated biosystems, the Professor Weiqiang Chen’s laboratory addresses numerous important problems in fundamental biology as well as clinical applications in disease diagnosis and treatment.

At CERA, we drive innovation in understanding and managing climate risks and energy transitions using data-driven approaches. Our cutting-edge research focuses on identifying, quantifying, and mitigating risks to build resilient communities, protect assets, and support institutions.

CMML focuses on research related to lightweight highly damage tolerant materials and aims at understanding the fundamental role of porosity in materials. The specialty of the lab is in the area of hollow particle filled composites called syntactic foams and in dynamic characterization of materials.

Professor Maurizio Porfiri’s group conducts multidisciplinary research in the theory and application of dynamical systems, motivated by the objectives of advancing engineering science and improving society. Their theoretical expertise is in controls, networks, nonlinear dynamics, and time-series, while our application domain is in modeling and analysis of physical, social, and technical systems.

Researchers at the Fire Research Group work on an online, scenario-based simulation training program for firefighters. ALIVE (Advanced Learning through Integrated Visual Environments) is a decades-long effort to bridge the information gap between research and real-life firefighting.

The igNYte Lab is a cutting-edge fire research laboratory dedicated to advancing fire safety through science and technology. The lab develops advanced diagnostics to enhance firefighting strategies and emergency responses, supporting the long-term efforts of the FDNY. As part of NYU Tandon School of Engineering, igNYte educates students on the complex scientific challenges of fire safety, providing hands-on experience in fire dynamics.

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.

The lab provides undergraduate and graduate students a real-world, hands-on experience in modern DSP- and PC- based data acquisition and real-time control.

The NanoBioX initiative at NYU stimulates fundamental research and technological innovation at the intersection of nanotechnology, biomedical research, and data science.