Towards Assessing Compliant Robotic Grasping From First-Object Perspective via Instrumented Objects
Author:
Affiliation:
1. Centre for Robotics, Queensland University of Technology (QUT), Brisbane City, QLD, Australia
Funder
ECR/MCR Scheme of the Queensland University of Technology
Norges Forskningsråd
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10534628/10538419.pdf?arnumber=10538419
Reference23 articles.
1. Visuo-haptic object perception for robots: an overview
2. The limits and potentials of deep learning for robotics;Snderhauf;Int. J. Robot. Res.,2018
3. A tactile-based grasping strategy for deformable objects manipulation and deformability estimation;Delgado,2015
4. Tactile-based manipulation of deformable objects with dynamic center of mass
5. Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
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