Student Research Symposium Program Portal

TUTORIAL

Please review the Student Research Symposium Tutorial for additional help:
https://docs.google.com/document/d/1JTvzK3C5hwM3WB9nXOUmvvcerrVHdPg4GpY9jRL1QH8/edit?usp=sharing

Submission information

Submission Number: 133

Submission ID: 8416

Submission UUID: ebb69ecf-e385-45d8-860d-15aa1415a2a4

Submission URI: /student-research/symposium/research-symposium-program-portal

Submission Update: /student-research/symposium/research-symposium-program-portal?token=6fNywzpQji9HIDbaN3FAgtImrrxeP76VIlij2lO1yvM

Created: Wed, 03/05/2025 - 10:28 AM

Completed: Wed, 03/05/2025 - 10:31 AM

Changed: Mon, 04/14/2025 - 12:42 PM

Remote IP address: 146.201.10.11

Submitted by: Anonymous

Language: English

Is draft: No

Webform: Research Symposium Program Portal WF

Submitted to: Student Research Symposium Program Portal

First Name

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FSU Student Email

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PFP-Color.png12.17 MB

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Student Bio

Poster Title

Abstract

This paper explores the application of probabilistic decision-making models to enhance the efficiency and reliability of autonomous operation in FIRST Robotics Competition (FRC) robots. Traditional deterministic autonomous programs often struggle with variability in sensor data, drivetrain inconsistencies, and unforeseen obstacles, leading to suboptimal performance. Robots can dynamically adjust their actions based on real-time conditions by integrating probabilistic models, optimizing movement strategies, and increasing scoring efficiency. Drawing from research in autonomous vehicles and Bayesian networks, this study examines how probabilistic frameworks improve adaptability and decision-making in uncertain environments. Key findings demonstrate that probabilistic approaches enhance FRC autonomous strategies by enabling real-time adjustments, reducing error rates, and maximizing competitive performance. The results suggest that future FRC teams can benefit from incorporating probabilistic modeling techniques to develop more robust and flexible autonomous routines.

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Work

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Exploratory (the research question has been identified and design of approach is outlined)

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Poster PDF

2025 Student Research Symposium.pdf2.38 MB

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Poster Thumbnail

Screenshot 2025-03-24 at 5.24.30 PM.png759.22 KB

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