Robustness Evaluation of Machine Learning Models for Robot Arm Action Recognition in Noisy Environments
Author:
Affiliation:
1. Northeastern University,Department of Electrical & Computer Engineering,Boston,MA,USA
2. Mayo Clinic,Kern Center for the Science of Health Care Delivery,Rochester,MN,USA
Funder
Northeastern University
U.S. Department of Homeland Security
Army Research Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448146.pdf?arnumber=10448146
Reference19 articles.
1. SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
2. Camera-to-Robot Pose Estimation from a Single Image
3. Mobile-robot pose estimation and environment mapping using an extended Kalman filter
4. Robust Pose Estimation via Hybrid Point and Twin Line Reprojection for RGB-D Vision Navigation
5. 3d robot pose estimation from 2d images;Heindl,2019
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1. RoboFiSense: Attention-Based Robotic Arm Activity Recognition With WiFi Sensing;IEEE Journal of Selected Topics in Signal Processing;2024-04
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