Explore Our Labs, Research and Classes

Electric Circuits - Omega Lab Highlights Fall 2019

 

Computer Vision for Visual Effects 2019

This video showcases student projects from the most recent offering of ECSE 4620/6620, Computer Vision for Visual Effects, which combines math, programming, professional software, and data collection activities.

 

Sawyer Research Lab

 

The Radke Lab @ RPI

Prof. Rich Radke’s group works on computer vision and machine learning problems applied to large-scale, occupant-aware environments.

 

ALSET

This video gives an introduction to ALSET Lab's hybrid hardware and simulator-based laboratory and the lab’s research on electrified systems. The laboratory’s facility can host real-time hardware-in-the-loop experiments on time-critical applications for cyber-physical systems, including power networks and electrified aircraft. More information at: http://alsetlab.com/

 

Engineering a Better World Using Mirrors, Sun, and Steam

Concentrated Solar Power (CSP) is one of the most promising renewable energy technology. It uses the same principle as the established steam turbines in coal and natural gas fired power plants from where we get power today. But it replaces the environmentally polluting fossil fuel (coal/natural gas) with clean and abundant solar energy (sunlight) for converting water into steam and further heating the steam. Since solar energy is available only during the day, it is necessary to capture and store the energy in form of heat in a thermal storage medium and use the stored heat to generate electric power in the night. Implementing CSP at large scale still remains an expensive proposition. Our research (as shown in the video) demonstrates how CSP can be made economically viable by (a) using earth abundant materials for storing thermal energy (heat), (b) using steam as a heat transport fluid instead of corrosive molten salt (that are being used in modern day plants) and (c) using novel designs of solar concentrators made out of array of cheap small mirrors. 

 

Meet Pepper

This video showcases the Intelligent Systems Lab's research on human-centered AI research, whereby we equip a robot with advanced computer vision and machine learning techniques to automatically recognize humans' facial and body behaviors, to infer humans' emotional states, and to perform natural human and robot interactions. More information about ISL research may be found at:  https://www.ecse.rpi.edu/~cvrl/

 

Autonomous Systems Research

The videos are from experiments done in the groups of control and autonomy. The research challenge here is to compute algorithms that control these robots so that they function safely and correctly.

Robots that Help

Assistive robotics research in Professor John Wen's labs engages both undergraduate and graduate students to work on robots that help mobility challenged individuals to perform daily activities.   On of the projects develops effective robotic assistance for individuals with C4-C7 spinal cord injury (SCI) for activities of daily living (ADL) such as house work or food preparation. The inability to perform ADL are major reasons that individuals with SCI and other disabilities move from living independently to intermediate care residences, because dedicated human help is expensive. Such robots may also be used in tele-health, and ICU patient monitoring and assessment.  For more videos related to robotics research and education at RPI, please visit https://youtube.com/controlguy168.

Internetworking of Things

Below is a sample project from the IoT Networking course/lab. IoT course provides an in-depth study of the technologies and protocols involved in building the Internet-of-Things (IoT), with specific focus on networking at the edge of the Internet. The lab explores IoT Security and data/content distribution, aggregation, and compression using hands-on experiences utilizing Raspberry Pi’s, Arduino’s, and NI software radio boards.

For more Internetworking of Things demos, click here.

 

Project to Help Refuel Satellites in Space

 

NASA Goddard Project

 

Lighting Enabled Systems and Application @ RPI

 

Our eyes process reflected lighting to help us navigate the world. See how a network of specialized sensors and LED lighting can allow the building to “see” its environment to create smarter, healthier and more energy efficient buildings and even be used to improve indoor food production.

LESA Introduction

Efficient Buildings - Integrated Building Environment and Management

Circadian Rhythm Control System

Cognition - Interactive Reality

VLC Communication - Unlimited Bandwidth

Plant Science - Precise Wavelength Tuning for Optimal Growth

Plant Science - Growth for the Future

 

Control System for Regulating Biological Rhythms