Saurabh Milind Dixit

Address: Contact: 1230 Kings Blvd #2, Email: dixits@oregonstate.edu Corvallis, Oregon, ZIP: 97330 Phone: +1-503-453-3884 _

EDUCATION Oregon State University, Corvallis, OR Sept 2014 till August 2016 Pursuing Masters in Robotics

CGPA: 3.72/4.00

Courses completed:

o Fall 2014: Machine Learning, Intelligent Robotics (GPA: 3.20/4.00) o Winter 2015: Mechanical Vibrations, Sequential Decision making (GPA: 3.85/4.00) o Spring 2015: Applied Robotics, Computer Control of Manufacturing Processes (GPA: 3.85/4.00) o Fall 2015: Introduction to Robotics, Thesis (Grades pending) (GPA: 4.00/4.00) o Winter 2016: Non-Linear Dynamics, Thesis (Grades pending) (GPA: 4.00/4.00) o Spring 2016: Intelligent Agents and Decision Making, Thesis(Grades pending) (GPA: pending)

Automation course at VIATA, Nashik, India May 2013 till August 2013

o Completed rigorous automation training at Visionary Industrial Automation Training Academy (VIATA) o Excelled in theoretical and practical applications of sensors, PLCs, SCADA, Prolific HMI o Completed 1 month industrial automation project of pouch printer automation using PLC

University of Pune August 2008 till June 2012 Bachelor of Engineering in Mechanical Engineering Equivalent GPA: 3.00

PROJECTS Industrial Project: Robotic Deburring Nov 2015 till present Working under Prof. Ravi Balasubramanian and Prof. Burak Sencer on a Deburring project for an MNC

Implementing path-planning algorithms with the help of Cartesian planner in MoveIt! simulator

We are using Adept robot arm along with custom made robot arm for performing deburring operation

Research Work towards thesis: Robotic Grasping July 2015 till present Working on research in Robotic Grasping under Prof. Ravi Balasubramanian and Prof. Cindy Grimm

My work is based on learning autonomous robotic grasps from grasps given by human controlled robots to significantly reduce grasp search space. We recently submitted a paper in IROS which is under review.

Grasps given by humans are collected as robots joint angles and Kinect point cloud data for further analysis

I have replicated the experimental setup in simulation by extensively using Robot Operating System (ROS) and OpenRAVE simulator for feature extraction, contact points and Kinect data visualization in 3-D

Applied Robotics Course Project: Beer Pong Robot Spring term 2015

The class was divided into teams of three. We stood 2nd out of 18 teams in robotic beer pong game competition

I fabricated mechanical parts of the beer pong robot using 3D printer and CNC milling machine

I also helped teammates with electrical connections and software development

Sequential decision making course projects Winter term 2015 Implemented A* and RRT (rapidly exploring random tree), Value iteration, MDP (Markov Decision Processes)

and POMDP (Partially Observable MDP) path finding algorithms in MatLAB

Project: Implemented Multi Robot Assembly Planning using Completely Constrained Component Analysis, Non-directional blocking graphs and RRT-Connect in v-rep and python

Intelligent Robotics: Robot Operating System (ROS) based projects Fall term 2014 Implemented Bayes filter based robot localization using Odometry, Laser Scan and map data in ROS and

compared results with built-in Adaptive Monte Carlo Localization

Implemented robot motion planning with Q-learning

Industrial Automation project: Automatic Pouch Printer Sept 2013 till Oct 2013 Automated the process of pouch printing which was previously done manually Designed the assembly of belt-conveyor, sensor and printer placement Procured appropriate Programmable Logic Controller (PLC), completed the PLC programming and successfully

tested the working of automation which ensured printing 40 pouches/minute

EXPERIENCE Teaching Assistant at Oregon State University Dec 2015 till present Served as TA for Dynamics (Winter term 2016) and serving as TA for Applied Robotics (Spring term 2016)

Maintenance Engineer, Graphite India Limited, Nashik, India June 2012 till April 2013 Root-caused problems on breakdowns of large machines like centerless grinding machine, stock cleaning

machine and cranes and took preventive steps to increase mean-time-between-failures A number of times stayed for continuous two shifts if some work was in progress to follow through Managed assignment of work based on skills and availability of workers

SOFTWARES Python, ROS (Robot Operating System), MatLab, C++, use Linux programming environment with git and vim

OpenRAVE, MoveIt!, v-rep(virtual robot experimentation platform), RSLogix for PLC programming Solid-Works, Uni-graphics, G-coding, AutoCAD, Autodesk Inventor, LabVIEW