I am interested in making robots more intelligent by enabling them to better understand what they see.
About Me
My PhD work in Robotics at Georgia Tech was advised by James Hays. I also worked closely with Charlie Kemp. I defended by PhD thesis in April 2020. I will join the Intel Intelligent Systems Lab as post-doc working with Vladlen Koltun in Fall 2020.
My PhD thesis is on observing and predicting hand-object interaction during human grasping, especially from the contact perspective. I have also worked on robotic grasping, learning to navigate and localize agents in large environments, object detection under occlusion, and object pose estimation. I was previously advised by Henrik Christensen.
I have a Masters degree in Robotics from the University of Pennsylvania, where I had the pleasure to work with Kostas Daniilidis. Before that, I got a bachelor's degree in electronics and communication engineering from Nirma University, India.
Research
DeepNav: Learning to Navigate Large Cities CVPR 2017
Learning to navigate large cities by training convolutional neural networks to make a navigation decision from the current street-view image.
3D Pose Estimation Summer 2013 / ICRA 2014
We made GRASPY, Penn's PR2 robot detect and estimate the 6-DOF pose of household objects, all from one 2D image.
RoboCup Kid Size League Summer 2013
Our Team DARwIN won the Humanoid Kid Size League world championships.
Kinect-based Object Segmentation for Grasping Summer 2011
We used a Kinect to segment spherical and cylindrical objects lying on a table, so that a robotic arm could be guided to their 3D position.
Practical OpenCV 2013, book with more than 82 K downloads
A detailed C++ guide for OpenCV through practical projects.