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Georgia Institute of Technology

Manipulation-Driven Adaptation for Enhancing Mobile Robot Efficiency and Versatility

Abstract

dc:description.abstract

Terrestrial mobile robotics are crucial to a range of missions including planetary exploration, search and rescue, logistics, and national security. Many of these missions require the robot to operate on a broad variety of terrain. Physical adaptation can enable a robot to intelligently interact with the environment to benefit from efficient and versatile performance. We describe a new approach to physical adaptation through manipulation. Specifically, this work investigates how manipulators can be used to change the vehicle's locomotive capabilities or increase vehicle traction. This work presents "swappable propulsors/anchors", which can be easily attached/detached to adapt the vehicle by exploiting geometric features and permanent magnets. A new robot system that uses its manipulator to swap between propulsors/anchors is created. This work experimentally demonstrates and quantifies how this manipulation-driven adaptation method provides a unique combination of energy efficiency and versatility in performance. We describe the design of swappable propulsors/anchors, analyze how to manipulate them and describe how they can be used to improve performance in mobility and payload transport across various surfaces.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Mechanical Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kim, Raymond
Advisor dc:contributor.advisor
  • Mazumdar, Anirban
Committee members dc:contributor.committeemember
  • Balakirsky, Stephen
  • Rogers, Jonathan
  • Ueda, Jun
  • Young, Aaron

Subjects

dc:subject × 6

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1853/72089
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/72089

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Kim, Raymond. Manipulation-Driven Adaptation for Enhancing Mobile Robot Efficiency and Versatility. Doctoral thesis, Georgia Institute of Technology, 2023. https://hdl.handle.net/1853/72089