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Get a grip : accurate robot–human handover

Ertürk, Esranur LU (2025) SAIS 2025: Swedish AI Society workshop 2025
Abstract
This project addresses the precision challenges in robot–human handover processes, particularly in surgical environments. Two different approaches are explored: (1) learning from a few human demonstrations with hand and instrument tracking and (2) collecting data from remotely controlled robot movements using a joystick or VR system. The aim is to achieve precise, natural handovers without requiring the human to regrip, and this research focuses on recognizing user intentions, accurately predicting hand and tool poses, and evaluating robot responsiveness.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
unpublished
subject
pages
4 pages
conference name
SAIS 2025: Swedish AI Society workshop 2025
conference location
Halmstad, Sweden
conference dates
2025-06-16 - 2025-06-17
language
English
LU publication?
yes
id
cba7ce53-ad73-4a1e-9234-a9f65396e501
date added to LUP
2026-08-17 11:55:13
date last changed
2026-09-02 14:42:59
@misc{cba7ce53-ad73-4a1e-9234-a9f65396e501,
  abstract     = {{This project addresses the precision challenges in robot–human handover processes, particularly in surgical environments. Two different approaches are explored: (1) learning from a few human demonstrations with hand and instrument tracking and (2) collecting data from remotely controlled robot movements using a joystick or VR system. The aim is to achieve precise, natural handovers without requiring the human to regrip, and this research focuses on recognizing user intentions, accurately predicting hand and tool poses, and evaluating robot responsiveness.}},
  author       = {{Ertürk, Esranur}},
  language     = {{eng}},
  title        = {{Get a grip : accurate robot–human handover}},
  url          = {{https://lup.lub.lu.se/search/files/258256567/SAIS2025_Esranur_Erturk.pdf}},
  year         = {{2025}},
}