On deformable object handling: Model-based motion planning for human-robot co-manipulation
Authors:
- Sotiris MakrisSotiris Makris
- Emmanouil KampourakisEKEmmanouil Kampourakis
- Dionisis AndronasDADionisis Andronas
Open Access
- 25 May 2022
- journal article
- research article
- Published by Elsevier in CIRP Annals
- Vol. 71 (1) , 29-32
Abstract
No abstract availableKeywords
Funding Information
- European Commission
- Horizon 2020 (869963, H2020-DT-FoF-12–2019)
This publication has 6 references indexed in Scilit:
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- Towards robust human-robot mobile co-manipulation for tasks involving the handling of non-rigid materials using sensor-fused force-torque, and skeleton tracking dataProcedia CIRP, 2021
- 3-D Deformable Object Manipulation Using Deep Neural NetworksIEEE Robotics and Automation Letters, 2019
- A review on modeling of flexible deformable object for dexterous robotic manipulationInternational Journal of Advanced Robotic Systems, 2019
- Symbiotic human-robot collaborative assemblyCIRP Annals, 2019
- Deep learning-based human motion recognition for predictive context-aware human-robot collaborationCIRP Annals, 2018