Ph.D. Proposal Oral Exam - Mouhyemen Khan

Event Details
  • Date/Time:
    • Thursday November 12, 2020
      1:00 pm - 3:00 pm
  • Location: https://bluejeans.com/920837024
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Summaries

Summary Sentence: Bayesian Model-based Safe Learning and Control for Robots

Full Summary: No summary paragraph submitted.

Title:  Bayesian Model-based Safe Learning and Control for Robots

Committee: 

Dr. Chatterjee, Advisor  

Dr. Mukhopadhyay, Chair

Dr. Egerstedt

Abstract: The objective of this research is to investigate safe learning-based control for safety-critical robots while considering unmodeled system dynamics. Uncertainty in system dynamics can arise due to external disturbances or internal system failures. Uncertainty modeling is done with the help of posterior surrogates from Gaussian Processes (GPs). The safety framework leverages properties of Control Barrier Functions (CBFs) to ensure forward invariance of the system inside a safe set.

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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: Oct 15, 2020 - 6:55pm
  • Last Updated: Oct 15, 2020 - 6:55pm