CNN-based Joint State Estimation During Robotic Interaction with Articulated Objects
Author:
Affiliation:
1. Institute of Robotics and Machine Intelligence, Poznan University of Technology,Poznan,Poland,60-965
Funder
National Science Centre, Poland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004277.pdf?arnumber=10004277
Reference25 articles.
1. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
2. Mask R-CNN;he;IEEE Int Conf on Computer Vision,2017
3. A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
4. Where2Act: From Pixels to Actions for Articulated 3D Objects
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1. JoTyMo: Joint Type and Movement Detection from RGB Images of Before and After Interacting with Articulated Objects;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19
2. Neural-Based Detection and Segmentation of Articulated Objects for Robotic Interaction in a Household Environment;Applied Sciences;2023-07-28
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