M.S. Robotics, Carnegie Mellon University
Advisors: Stephanie Rosenthal, Manuela M. Veloso
Our CoBot robots have successfully performed a
variety of service tasks in our multi-building environment
including accompanying people to meetings
and delivering objects to offices due to its navigation
and localization capabilities. However, they
lack the capability to visually search over desks
and other confined locations for an object of interest.
Conversely, an inexpensive GPS-denied quadcopter
platform such as the Parrot ARDrone 2.0
could perform this object search task if it had access
to reasonable localization. In this work, we proposed
the concept of coordination between CoBot
and the Parrot ARDrone 2.0 to perform servicebased
object search tasks, in which CoBot localizes
and navigates to the general search areas carrying
the ARDrone and the ARDrone searches locally for
objects. We proposed a vision-based moving target
navigation algorithm that enables the ARDrone to
localize with respect to CoBot, search for objects,
and return to the CoBot for future searches. We
demonstrated our algorithm in indoor environments
on several search trajectories.
Google Summer of Code 2015 May 2015 – Aug 2015
Organization: University of Nebraska - Helikar Lab
Mentors: Tomas Helikar, Jiri Adamec
Project aims to develop android application for a screening test for the detection of cancer bio-marker(s) from a small drop of blood. Many softwares exist for Blood sample image analysis, but most of them contain a trade-off between portability and accuracy. Using the state of art Image processing techniques and camera-equipped mobile devices with sufficient processing capacity, developing a reliable application that performs screening test for cancer biomarker detection is feasible.
Dr. Eli Peli, MSc, OD, DSc (Hon)
Professor of Ophthalmology, Harvard Medical School
Senior Scientist, Schepens Eye Research Institute, Massachusetts Eye & Ear
Prof. R V Raja Kumar,
Rajiv Gandhi University of Knowledge Technologies.
The Aspiring Researcher Challenge Feb 2015 - May 2015
Sharad Goel ,
Stanford Management Science and Engineering
At a 1906 county fair, the statistician Francis Galton watched as eight hundred people competed to guess the weight of an ox. He famously observed that the median of the guesses, 1207 pounds, was within 1% of the true weight. Since then, this "wisdom of the crowd" effect has been documented in a variety of domains, ranging from trivia questions to combinatorial optimization. Yet, perhaps surprisingly, we have little understanding of why, or even when, the phenomenon holds.
Main objective of the project is to leverage the wisdom of the crowd to systematically investigate the wisdom of crowds. A large online experiment would be developed where modules are created to study the wisdom of the crowd in a specific domain.
More information : Github-Wisdom of Crowds
~ Developed image processing algorithm to detect and track the contraction and dilation of pupil as per the intensity of light focused on it.