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Massachusetts Institute of Technology

MIT SoFi: A Study in Fabrication, Target Tracking, and Control of Soft Robotic Fish

Abstract

dc:description.abstract

This thesis examines the continuation of the MIT SoFi project by exploring the development of a new fabrication process and implementation of a target tracking algorithm. A new fabrication process to increase the consistency and quality of silicone fish tails using advance silicone molding techniques was explored and included material selection, process redefinition, fabrication, and testing. Two different silicone materials were used and evaluated using video analysis in Logger Pro. A target tracking control algorithm using computer vision and a particle filter was deployed in simulation and tested using recorded data from real SoFi experiments. The hardware and software challenges will be discussed and the proposed solutions will be evaluated. The combination of a consistent fabrication procedure and increased target tracking capabilities opens the door to fabricate a school of SoFi's and carry out robotic swarm operations in the future.

Degree

thesis:*
Name thesis:degree_name
Bachelor
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Williamson, Robert
Advisor dc:contributor.advisor
  • Rus, Daniela

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/143173
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/143173

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Williamson, Robert. MIT SoFi: A Study in Fabrication, Target Tracking, and Control of Soft Robotic Fish. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/143173