Ph.D. Proposal Oral Exam - Siddharth Mayya

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Event Details
  • Date/Time:
    • Wednesday May 2, 2018 - Thursday May 3, 2018
      10:00 am - 11:59 am
  • Location: Room 530, TSRB
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Collisions as Information Sources in Robot Swarms

Full Summary: No summary paragraph submitted.

Title:  Collisions as Information Sources in Robot Swarms

Committee: 

Dr. Egerstedt, Advisor  

Dr. Wardi, Chair

Dr. Goldman

Dr. Hutchinson

Abstract:

The objective of the proposed research is to investigate whether inter-robot collisions occurring in robot swarms can be used as an information source which allows the robots to perform useful tasks. We envision a collection of robots equipped with simple tactile collision sensors and demonstrate how these can be used by the robots to perform tasks like localization in a region and decentralized role allocation within the swarm. This work is motivated by the observation that as the size of robots decreases in multi-robot systems, collisions cease to be catastrophic events that need to be avoided at all costs. This implies that less conservative, coordinated control strategies can be employed, where collisions are not only tolerated, but can potentially be harnessed as an information source. Moreover, many animal species have been shown to use physical contact within a swarm as a sensory mechanism to perform tasks. In this proposal, we follow this line of inquiry by employing collisions as a sensing modality that provides information about the robots' surroundings. To this end, we develop theoretical models to analyze the nature and frequency of collisions occurring between robots by using ideas from stochastic geometry and molecular physics. In the first application, we investigate whether the collisions are sufficiently rich sources of information to allow the robots to localize themselves (in particular environments). Following this, we develop a role allocation strategy which allows robots in a swarm to distribute themselves among different roles using simple collision-based interactions. The resulting algorithm is completely decentralized and is robust to robot failures within the swarm. The developed algorithms are deployed on teams of real-world robots. Inspired by these developments, we propose three directions of future work where we would like to explore connections between collisions occurring among swarming robots, in insect colonies, and among molecules in a physical system.

Additional Information

In Campus Calendar
No
Groups

ECE Ph.D. Proposal Oral Exams

Invited Audience
Public
Categories
Other/Miscellaneous
Keywords
Phd proposal, graduate students
Status
  • Created By: Daniela Staiculescu
  • Workflow Status: Published
  • Created On: Apr 19, 2018 - 5:00pm
  • Last Updated: Apr 19, 2018 - 5:00pm