Shashank Rao Marpally

Shashank Rao Marpally

Research Assistant

Arizona State University

About

I am a Second year Masters Student (Robotics and Autonomous Systems: AI Concentration) and Research Assistant at Arizona State University, currently working with Dr. Siddharth Srivastava at the Autonomous Agents and Intelligent Robots (AAIR) Lab. My research currently focusses on action model learning of black-box agents. I have previously worked on numerous Robotics projects as well.

Interests

  • Artificial Intelligence
  • Human Robot Interaction
  • AI-Safety

Education

  • Masters in Robotics and Autonomous Systems(Artificial Intelligence Concentration), 2021

    Arizona State University

  • B.Tech in Mechanical Engineering, 2019

    National Institute of Technology, Karnataka

Experience

 
 
 
 
 

Robotics Intern

Toyota Material Handling

Jun 2020 – Jul 2020 Indianapolis
Software Development for Autonomous Forklift Simulation
 
 
 
 
 

Research Assistant

Arizona State University

Jan 2020 – Present Tempe,Arizona
Researching Action Model Learning of Black Box Agents (GPA: 4.0/4.0)
 
 
 
 
 

Research Intern

Indian Institute of Technology, Kanpur

May 2018 – Jul 2018 Kanpur,India
Researched Recurrent Neural Networks for Motion Planning on simulated UR5 Robot arm
 
 
 
 
 

Software Development Intern

Systemantics India Pvt. Ltd

Dec 2017 – Dec 2017 Bangalore,India
Developed UX for an Android App for Controlling a Robot, Assited in design of Infeed Mechanism for a process automation task
 
 
 
 
 

Research Intern

Indian Institute of Technology, Bombay

May 2017 – Jul 2017 Mumbai,India
Implemented a Multi-Robot Decentralized Graph Exploration Algorithm on ROS-Gazebo framework
 
 
 
 
 

Student

National Institute of Technology

Aug 2015 – May 2019 Mangalore,India
B.Tech in Mechanical Engineering (GPA: 3.77/4.0)

Publications and Preprints

(2020). Asking the Right Questions: Interpretable Action Model Learning using Query-Answering.

PDF

(2020). Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming.

PDF

(2019). Geometrical Mapping of an Initially Unknown Region by a Mobile Robot.

PDF DOI

Projects

ABU-ROBOCON 2018

Designed, developed, prototyped, fabricated and assembled (as a team) two industry-level robots that were to play a cooperative game of shuttlecock throwing.

Deep Reinforcement Learning Nanodegree

Completed all projects within the Deep Reinforcement Learning Nanodegree Offered by Udacity

Multi-Robot Decentralized Graph Exploration

Implemented an Exploration algorithm on ROS-Gazebo platform that utilizes multiple robots communicating in a decentralized fashion to achieve complete coverage of an apriori unknown map

RNN for Motion Planning

Investigated the applicability and utility of Recurrent Neural Networks for Motion Planning on a simulated UR5 robot arm in a ROS-Gazebo framework.

Robot Snakes mimic Snakes from Video using Genetic Algorithms

Utilized Genetic Algorithms to make a snake robot move like a snake from video from nature