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Ph.D. Proposal Oral Exam - Ellie Pond

Title:  Assured Optimization for Autonomous Systems

Committee:

Dr. Hale, Advisor

Dr. Tucker, Chair

Dr. Coogan

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Summary

The objective of the proposed research is to develop theoretical assurances regarding the safety and reliability of autonomous robotic systems with efficient computational implementations. The state of the literature and the author's prior research regarding control barrier functions, a safety-enforcement technique, and asynchronous distributed optimization algorithms are detailed. We propose work the development of a protocol that guarantees the safety of multi-agent systems in a distributed manner. Additionally, we propose work to develop an asynchronous algorithm selection framework based on convergence rate bounds and to prove that a general function class, contraction maps, are implementable under delay-bounded asynchrony.

Details

Monday
Nov 17 2025
12:00pm - 02:00pm

Location: Room 509, TSRB

In campus calendar: No

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  • Workflow status: Published
  • Created by: Daniela Staiculescu
  • Created: 11/11/2025
  • Modified By: Daniela Staiculescu
  • Modified: 11/11/2025

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