Dr. Cang Ye
NRI: Small: A Co-Robotic Navigation Aid for the Visually Impaired
The objective of the proposed research is to develop enabling technology for a co-robotic navigation aid called a Co-Robotic Cane (CRC). The CRC is able to collaborate with its user via intuitive human-device interaction mechanisms in achieving effective navigation in 3D environments. The CRC’s navigational functions include position estimation of the device, wayfinding, obstacle detection, and objet recognition. The use of the CRC will help to improve the independent mobility of the visually impaired and, therefore, improve their quality of life. The project team will develop new computer vision methods that support accurate blind navigation in 3D environments and intuitive human-device interaction interfaces for effective use of device. These methods include: (1) a new robotic pose estimation method that provides accurate device pose estimate by integrating egomotion estimation and visual feature tracking; (2) a pattern recognition method that may recognize indoor structures and objects for wayfinding and obstacle manipulation/avoidance; (3) an innovative mechanism for intuitive conveying of the desired travel direction; and (4) a Human Intent Detection interface for automatic device mode switching. The proposed blind navigation solution can be encapsulated in a miniaturized system and installed on a conventional white cane and enhance its functionality. The resulted CRC will provide advanced navigational functions that are currently unavailable in the existing blind navigation aids.
Dr. Shucheng Yu
MRI: Acquisition of a Cloud Computing Infrastructure for Research and Education
This is a prestigious and competitive 3-year grant from the National Science Foundation for deployment of the first cloud computing instrument in the state of Arkansas for research and education. The awarded instrument, after its installation, will have more than 1000GB RAM and over 100TB storage. Theoretically, the cloud can run over 400 simultaneous virtual machine instances (each with 4GB memory) and is ideal for large-scale parallel tasks in the era of big data.
With the awarded cloud instrument, PI Dr. Shucheng Yu and the Co-PIs, all from the Computer Science Department at UALR, will carry out various cutting-edge research projects, spanning areas of social networks, cloud computing security, cryptography, biomedical computing, and data stream analysis. The cloud will be made accessible to the community of UALR and researchers from other universities in the state of Arkansas. This grant also aims to provide unique experiences with cloud techniques to students at UALR.
Dr. Hirak Patangia
SBIR: Hands-free Silent Tactile Obstacle Avoidance System for Blind Travelers.
Congratulations to Dr. Hirak Patangia of the UALR Engineering Technology department. He received a subaward from Fauxsee Innovations through the National Science Foundation for the proposal entitled SBIR: Hands-free Silent Tactile Obstacle Avoidance System for Blind Travelers. With this funding, Dr. Patangia will be able to hire two undergraduate students and one graduate student for the Fall semester.
Fauxsee Innovation“proposes to design, develop, evaluate, and specify an ultrasonic blind mobility assistance device[called] ‘Roboglasses™’ that will provide a more effective, affordable, lightweight and intelligent navigation assistant for vision-impaired people.” Dr. Patangia and his team of students will contribute to this project by providing design assistance, design testing and evaluation, instrumentation, and system simulation.
*This page does not provide a comprehensive list of all awards and only provides a list of awards approved for publication. Please contact us if you would like to announce your award on this page.