Intrusion Detection in Swarm Robotics
Student Researcher: Lindsey Coffee-Johnson
Mentor: Dr. Debbie Perouli
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 1: Orientation||
|Week 2: Study Related Work||
|Week 3: Learn About TurtleBots||
|Week 4: Form Research Hypothesis||
|Week 5: Design Methodology to Support or Disprove Hypothesis||
|Week 6: Start Writing Paper||
|Week 7: Build System||
|Week 8: Run Experiments||
|Week 9: Test hypothesis||
|Week 10: Presenting Research||