Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion

Ereifej, Joseph H. (2025) A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion. Master's Thesis, University of Pittsburgh. (Unpublished)

This is the latest version of this item.

[img]
Preview
PDF
Download (7MB) | Preview

Abstract

Movement control in autonomous robots requires low-power, real-time models, especially for bio-mimetic locomotion in challenging terrains. Human intervention is often impractical in such environments, making specialized neural networks like central pattern geterators critical for offloading computational resources. This paper presents a controller for a bipedal robot using a modified spiking neuron model, adapted for efficient deployment on field-programmable gate arrays. Key modifications were made to ensure lightweight, real-time performance. Additionally, we leverage a unique open-source neuromorphic software platform for the network design and deployment, making the technology accessible to developers aiming to implement autonomous robot locomotion.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ereifej, Joseph H.jhe7@pitt.edujhe7
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairKubendran, Rajkumarrajkumar.ece@pitt.edurak196
Committee MemberDickerson, Samueldickerson@pitt.edusjdst31
Committee MemberCan-Cimino, Azimeazime.cancimino@pitt.eduazc9
Date: 7 January 2025
Date Type: Publication
Defense Date: 15 November 2024
Approval Date: 7 January 2025
Submission Date: 1 November 2024
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 20
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Central Pattern Generators, Spiking Neural Networks, Field Programmable Gate Array, Neuromorphic Computing, Neuromorphic Hardware, Robotics
Date Deposited: 07 Jan 2025 21:10
Last Modified: 07 Jan 2025 21:10
URI: http://d-scholarship.pitt.edu/id/eprint/47062

Available Versions of this Item

  • A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion. (deposited 07 Jan 2025 21:10) [Currently Displayed]

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item