eprintid: 10195711
rev_number: 13
eprint_status: archive
userid: 699
dir: disk0/10/19/57/11
datestamp: 2024-08-15 16:10:37
lastmod: 2024-08-20 15:21:41
status_changed: 2024-08-15 16:10:37
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Huang, Y
creators_name: Alkayas, AY
creators_name: Shi, Jialei
creators_name: Renda, F
creators_name: Wurdemann, Helge
creators_name: George Thuruthel, Thomas
title: Predicting Interaction Shape of Soft Continuum Robots using Deep Visual Model
ispublished: inpress
divisions: UCL
divisions: B04
divisions: F45
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2024-10-13
date_type: published
publisher: IEEE
official_url: https://ieeexplore.ieee.org/xpl/conhome/1000393/all-proceedings
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2304306
lyricists_name: Wurdemann, Helge
lyricists_id: HAWUR25
actors_name: Wurdemann, Helge
actors_id: HAWUR25
actors_role: owner
full_text_status: public
pres_type: paper
series: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
volume: 2024
event_title: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems
book_title: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
citation:        Huang, Y;    Alkayas, AY;    Shi, Jialei;    Renda, F;    Wurdemann, Helge;    George Thuruthel, Thomas;      (2024)    Predicting Interaction Shape of Soft Continuum Robots using Deep Visual Model.                     In:  2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).    IEEE    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10195711/1/Wurdemann_IROS_24__Interaction_prediction.pdf