Resume 13march

  • November 2019
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Puru Rastogi [email protected]

· +1 - 4122655416 · linkedin.com/in/pururastogi · pururastogi.weebly.com

Education Carnegie Mellon University

Pittsburgh, PA MS in Mechanical Engineering 2015 – 2017 Specialized in Robotics Key Courses: Planning, Execution and Learning, Computer Vision, Machine Learning, Manipulation Algorithms, Localization and Mapping Swartz Entrepreneurial Fellow 2016 – 2017 Swartz fellowship is given by Carnegie Mellon University to graduate students who are passionate about entrepreneurship in technology arena.

Indian Institute of Technology Guwahati

Guwahati, India BS in Mechanical Engineering 2011 – 2015 Key Courses: Linear Control Systems, Dynamics of Machinery, Introduction to Programming

Skills Programming Languages: Python, C++ Tools and Packages: OpenCV, ROS, MATLAB & Simulink

Professional Experience Near Earth Autonomy Robotics Engineer Developing planning algorithms for aerial robots. Developed contingency system for Unmanned Aerial Systems (UAS). Improved efficiency of the perception module of aerial robots. Integrated systems for multiple aerial drone based projects.

··· · Cleanrobotics

Pittsburgh, PA Jul ’17 – Present

Pittsburgh, PA Part-Time Robotics Engineer Oct ’17 – Mar ’18 Trashbot: Robotic trashcan capable of sorting trash into recyclables and landfill Developed the complete production level software for Trashbot. Trashbot is currently deployed at multiple locations across the globe. Robotics Engineer Jan ’16 – May ’16 Developed Trashbot’s first prototype, which included its mechanism, electronics and complete firmware and software. Patented the design and concept of Trashbot as its co-inventor.

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Air Lab, Robotics Institute

Pittsburgh, PA Graduate Student Researcher Nov ’16 – May ’17 MBZIRC Project: Aim was to land drone on moving target. It was part of the MBZIRC’17 competition. Developed algorithm to detect the truck on which landing target was mounted, from the visual feed. Developed algorithm to detect the landing target from the visual feed. Developed program to determine velocity of the landing target, which was later used as feed forward in visual servoing.

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Academic Projects Predicting Player’s Action Through Inverse Reinforcement Learning

Pittsburgh, PA Advisor: Prof. Levent Burak Kara Jan ’17 – Apr ’17 Developed a Pacman like game, which using Inverse Reinforcement Learning could predict the path of the Pacman and make smart attack plans for the ghosts

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Robotic Manipulation for Door Navigation

Pittsburgh, PA Advisor: Prof. Maxim Likhachev Nov ’16 – Dec ’16 Developed lattice-based planner for a single arm mobile manipulator to pull-open and navigate around spring-loaded doors.

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