A multilateral manipulation software framework for human-robot collaboration in surgical tasks

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Abstract/Contents

Abstract
In robot-assisted surgery, exploration and manipulation tasks can be achieved through collaboration among robotic and human agents. Collaboration can potentially include multiple agents working towards a shared objective -- a scenario referred to as multilateral manipulation. We present a flexible software framework, called the Multilateral Manipulation Software Framework (MMSF) to expedite development of various multilateral manipulation strategies. The goal of the MMSF to facilitate rapid development of human-robot collaborative models in a thread-safe manner. We demonstrate the effectiveness of implementing the MMSF in three mock surgical tasks: inclusion segmentation, debridement, and electrocauterization. We built autonomous agents capable of completing these tasks, and developed human-robot collaboration models using these autonomous agents. Example human-robot collaboration models tested in this work include (1) fully autonomous task execution, (2) shared control between a human and robotic agent, (3) supervised control where the operator dictates commands to the robot, (4) traded control between the two agents, and (5) bilateral teleoperation. For each of our three implemented surgical tasks, we demonstrate the nature of results achievable through use of the Multilateral Manipulation Software Framework by comparing the performance of different human-robot collaboration models. For the inclusion segmentation task, we conducted a user study where we compared the performance of different human-robot collaboration models against each other. This dissertation also describes implementations that allow the Multilateral Manipulation Software Framework to be used with Phantom Premium Haptic Devices, the RAVEN-II Surgical Robot, and the da Vinci Research Kit.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Nichols, Kirk
Associated with Stanford University, Department of Mechanical Engineering.
Primary advisor Okamura, Allison
Thesis advisor Okamura, Allison
Thesis advisor Cutkosky, Mark R
Thesis advisor Gerdes, J. Christian
Advisor Cutkosky, Mark R
Advisor Gerdes, J. Christian

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Kirk Nichols.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Kirk Arthur Nichols
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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