Intrusion Detection in Swarm Robotics

Revision as of 17:49, 1 June 2018 by Lcoffeejohnson (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Student Researcher: Lindsey Coffee-Johnson

Mentor: Dr. Debbie Perouli

Project Description

Several industries, such as healthcare and hospitality, are investigating the benefits of using social and service robots to cover some of their customers' needs. For example, a robot could interact with an older adult to decrease the feeling of loneliness or a robot could deliver items such as food or towels to a hotel guest. Successful deployment of social and service robots will likely lead to the introduction of more robotic units in the facility resulting in the formation of a swarm.

The objective of this project is to develop techniques that detect a hacked robot in the context of a small swarm (three to four robots). The project will focus on two types of abnormal robot behavior:

  • The robot's location is different from the location it should have. This type of abnormality includes the robot spending significantly more or less time at a location that it was supposed to visit.
  • The robot's psychological impact on the customer is negative.

Milestones and Goals

Week Description
Week 1: Orientation
  • Familiarize with Marquette, project and mentor
  • Set milestones and goals for the project duration
  • Start reading related literature on trust in the context of human-robot interaction and intrusion detection
Week 2: Study Related Work
  • Read related literature with an emphasis on cognitive science topics related to persuasion, deception and manipulation, as well as security in cyber physical systems (CPS) and fault tolerance.
Week 3: Learn About TurtleBots
  • Learn how to program TurtleBots
  • Explore the Robot Operating System (ROS) and simulator
  • Install and run Python programs developed by Dan Cronce during previous REU project
Week 4: Form Research Hypothesis
  • Specify assumptions
    • Tasks that each robot will perform (normal behavior)
    • Acts that will constitute proof of hacking (abnormal behavior)
Week 5: Design Methodology to Support or Disprove Hypothesis
  • Experiments for the part of the project related to hacking the robot's location
  • Comparisons to existing cognitive science studies for the part of the project related to the psychological impact on consumer
  • Give midway presentation
Week 6: Start Writing Paper
  • Complete the first part of the paper
Week 7: Build System
  • Build system needed to run the experiments with the TurtleBot 2 robots
  • Collect any additional related work evidence
Week 8: Run Experiments
  • Run experiments on TurtleBots
  • Detail comparisons of the suggested technique for identifying intrusion detection to existing literature
  • Prepare final poster on research
Week 9: Test hypothesis
  • If needed, rerun experiments
  • Consider future work
Week 10: Presenting Research
  • Present at poster session
  • Prepare and give oral presentation
  • Finish and submit final paper