I am a recent graduate from the Department of Mechanical Engineering at Stanford University, where I obtained a Master of Science degree specializing in Robotics and Artificial Intelligence.
Last Summer, I completed a summer
internship at Auris Health, Inc., a
surgical robotics company owned by Johnson and Johnson.
I completed my Bachelors Degree in Mechanical Engineering from Birla Institute of Technology and Science, Pilani, India. In my final year, I pursued a thesis under Dr. Kostas Alexis at University of Nevada, Reno. I also spent a few months performing research at Bhabha Atomic Research Center, a government research facility in Mumbai, India. You can find my full CV here and further information on my projects and publications below.
M.S. in Mechanical Engineering: Robotics, 2020
Stanford University, USA
B.E. (Honors) in Mechanical Engineering, 2018
Birla Institute of Technology and Science (BITS), Pilani, India
For a complete list, kindly have a look at my CV
Developing controllers for guiding a Volkswagen Golf GTI around an oval track as fast as possible, with constraints on motion that ensured a comfortable ride. See project page for details.
Exploring the versatility of torque-controlled robot arms by having a 7 degree-of-freedom arm to play a French board game called "Crokinole" See page for details.
Developing ROS packages for a turtlebot to autonomously explore and navigate through a mock environment to pick and deliver items. See page for details.
Design and control of a light-weight aerial manipulator for inspection - like a flying hand! See page for details.
An autonomous differential drive robot built from absolute scratch in the ME218B course project. The robot had to pickup, sort and dispose off coloured balls in specific zones while navigating an arena with various provisions for localization such as beacons and lines. See page for details.
Using an IMU and dynamics models to estimate the side-slip angle of a vehicle by implementing nonlinear filtering methods such as the Extended and Unscented Kalman Filters and Particle Filters. See page for details.
Developing a novel velocity planning algorithm that prioritized passenger comfort given finite knowledge of the terrain ahead of the vehicle. See page for details.
A deep convolutional network utilizing both optical flow and stereo depth to estimate the pose of the ego vehicle, using the KITTI open dataset. See page for details.
Please feel free to reach out!