Sustainable, Mobile, & Agile Connected Communities Lab
Most major metropolitan cities are vital players in the global race to the development of sustainable smart cities, a key component for thriving economies. Rapid advancements in technology has paved the way for revolutionary concepts that are potentially disruptive to our conventional ideas of what cities, neighborhoods, and transportation systems should look like. This revolution has been challenging the classical educational model as it pushes, more than ever, the boundaries of multidisciplinary and creative thinking particularly in the face of some of the most pressing issues in our recent global affairs, such as the refugee crisis, global warming and rising political instability. We believe that institutions of higher education can play a major role not only by shedding light, but also by being a part of a global initiative in creating new knowledge that is required of the future workforce in engineering. Therefore, aligned with our institution’s vision, we established the SMAC2 Lab at the Cooper Union as an initiative that facilitates interdisciplinary collaboration and the integration of state-of-the-art technology allowing the development of integrated not only solutions but also creations that reimagine our cities and systems as more economically, environmentally, and socially resilient, hence, sustainable communities.
NVIDIA DRIVE PX 2 Grant Approved, Nov 13, 2018
This will be used to develop and implement our algorithms that fuse visual and Lidar data for accurate localization using a 16 scan-line Lidar and multiple cameras.
The Cooper Mapper-Autonomous Driving Platform
In this project, we are building a full-fledged robot which can perform controlled mapping and fully autonomous driving from a starting point to any designated destination in the map created at 41 Cooper square. Due to the lack of indoor GPS localization in indoor structures, Simultaneous Localization and Mapping (SLAM) is necessary particularly for applications where the ability to accurately localize without a prior reference is especially crucial. Our goal is to provide the opportunity for university students to learn about and conduct research on autonomous driving technology.
This project is an initiative started by mechanical and electrical engineering students in an attempt to make a difference in the way by which elderlies, and anyone with physical disabilities, interact with the world. This project integrates various technologies such as virtual reality, live 3D video streaming, data stream network and gesture tracking into a single product to achieve telepresence. We are developing a completely mobile robot that can be remotely controlled to interact with objects in its surrounding. A screen or VR headset will display video from the robot's camera to the user. The mobile robot also tracks head rotations and has a robotic arm controlled by gestures performed by the user.
We are currently developing an integrated sensor platform IoT (internet of things) –based network for detection of population flow and assessment of local environmental and structural health. In addition, we plan to utilize the existing sensor infrastructure and open data projects that are commonly available in metropolitan cities in order to make informed decisions about engineering and architectural design and construction with regards to livability and resource accessibility of underprivileged communities through the development of data-based models. We will be addressing issues related to making use of space, energy dependency, access to resources, and space esthetics.
Assistant Professor of Electrical Engineering
The Cooper Union
Dirk Martin (Mark) Luchtenburg
Assistant Professor of Mechanical Engineering
The Cooper Union
Associate Professor of Computer Engineering
The Cooper Union
ZheKai (Scott) Jin (UG 2019, Electrical Engineering)
Simon Shao (UG 2019, Mechanical Engineering)
Min Joon So (UG 2019, Mechanical Engineering)
Yifan (Frank) Zhang (UG 2021, Electrical Engineering)
Liushifeng Chen (UG 2018, Mechanical Engineering)
Jonathan Pedoeem (UG 2019, Electrical Engineering)
JiaLun Bao (MS 2019, Electrical Engineering)
William Lim (MS 2018, Mechanical Engineering)
Rafi Maueen (UG 2019, General Engineering)