An Open Source Motion Planning Framework for Autonomous Minimally Invasive Surgical Robots

Attanasio, A, Marahrens, N orcid.org/0000-0002-5982-4990, Scaglioni, B orcid.org/0000-0003-4891-8411 et al. (1 more author) (2021) An Open Source Motion Planning Framework for Autonomous Minimally Invasive Surgical Robots. In: 2021 IEEE International Conference on Autonomous Systems (ICAS). 2021 IEEE International Conference on Autonomous Systems (ICAS), 11-13 Aug 2021, Montreal, QC, Canada. IEEE ISBN 978-1-7281-7290-3

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Item Type: Proceedings Paper
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Dates:
  • Published: 6 October 2021
  • Published (online): 6 October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
Funder
Grant number
Royal Society
wm150122
EPSRC (Engineering and Physical Sciences Research Council)
EP/R045291/1
Intuitive Surgical Inc
Not Known
Depositing User: Symplectic Publications
Date Deposited: 17 Nov 2021 13:27
Last Modified: 19 Nov 2021 03:15
Status: Published
Publisher: IEEE
Identification Number: 10.1109/icas49788.2021.9551134
Open Archives Initiative ID (OAI ID):

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