Reference Code: USMA-RRC-FL-02-FY22

Posted: 05-23-2022

FELLOWSHIP TYPE: Graduate Student   

DURATION: June 01, 2022 – August 31, 2022 (variable start date)

LOCATION: United States Military Academy, West Point, New York 10996   

APPLICATION LINK: https://cvent.me/K08ELV

Requirements:

  • US Citizen or Legal Permanent Resident
  • C/C++ and/or Python
  • Experience with machine learning (taken AI/ML course or equivalent)
  • Capable of swimming (or passing a swim test)

Preferred Expertise:

  • Linux experience
  • Linux Command Line Experience
  • C/C++ and Python Programming
  • Machine learning using available libraries (AI Gym, Tensorflow, etc.)

Stipend Amount:

  • Stipend offered in alignment with the GS (General Schedule) scale and is commensurate with trainee grade level and experience
  • Additional Relocation Allowance

Fellowship Project Description:

This summer 2022 project is designed around graduate students working with high school and undergraduate students in performing experiments in MDO-HuRT-T and contributing publication worthy results in cooperative autonomous multi-robot teams.  Students will learn how robots in MDO-HuRT-T function, deploy them for experiments, and contribute to cutting edge research.  We are searching for students that enjoy being outdoors during the summer and can help with deploying our robots for experiments.  For HS and Undergraduate students, the program is setup in three phases.  In phase I, the students learn about the robots in how to safely operate them and learn about our lab works.  Phase II, the students begin to deploy robots for experiments and begin learning how to program the robots for multi-robot cooperation.  Phase III, the students begin to implement their own solutions to multi-robot cooperation.  In this position, we are looking for graduate students to immediately make impact in several publication worthy research areas.  The first area is supporting multi-robot teaming playing games of capture the flag.  Students may explore using hand-written behavior-based algorithms, planning, and/or machine learning for multi-robot teams in an opposed environment. This effort will culminate in a competition this August against other multi-robot teams.  The second research area that candidates can contribute to is object recognition using computer vision with robots on the water for maritime search and rescue aiding human rescuers.  The goal of this second research area is for resilient online multi-robot machine learning recognition model updating during a search and rescue operation in which actors are actively trying to interfere.

Detailed Lab Description, Background and Research Focus:

The Multi-Domain Human-Robot Teaming Testbed (MDO-HuRT-T) at the Robotics Research Center at the United States Military Academy studies multi-robot teams, perception, and human-robot teaming in challenging environments. The robots in MDO-HuRT-T fly, drive, and swim…sometimes they fly and then swim on purpose! Our expertise is in creating autonomous robots that use sensors to perceive the world and then make coordinated decisions with teammates.

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