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Zackory Erickson
Zackory Erickson
Assistant Professor, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep haptic model predictive control for robot-assisted dressing
Z Erickson, HM Clever, G Turk, CK Liu, CC Kemp
2018 IEEE international conference on robotics and automation (ICRA), 4437-4444, 2018
1062018
Multimodal execution monitoring for anomaly detection during robot manipulation
D Park, Z Erickson, T Bhattacharjee, CC Kemp
2016 IEEE International Conference on Robotics and Automation (ICRA), 407-414, 2016
1022016
Assistive gym: A physics simulation framework for assistive robotics
Z Erickson, V Gangaram, A Kapusta, CK Liu, CC Kemp
IEEE International Conference on Robotics and Automation (ICRA), 2020
972020
Active Robot-Assisted Feeding with a General-Purpose Mobile Manipulator: Design, Evaluation, and Lessons Learned
D Park, Y Hoshi, HP Mahajan, HK Kima, Z Erickson, WA Rogers, ...
Robotics and Autonomous Systems, 2019
882019
A multimodal execution monitor with anomaly classification for robot-assisted feeding
D Park, H Kim, Y Hoshi, Z Erickson, A Kapusta, CC Kemp
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
712017
Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data
HM Clever, Z Erickson, A Kapusta, G Turk, K Liu, CC Kemp
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
622020
Personalized collaborative plans for robot-assisted dressing via optimization and simulation
A Kapusta, Z Erickson, HM Clever, W Yu, CK Liu, G Turk, CC Kemp
Autonomous Robots 43, 2183-2207, 2019
512019
Learning to collaborate from simulation for robot-assisted dressing
A Clegg, Z Erickson, P Grady, G Turk, CC Kemp, CK Liu
IEEE Robotics and Automation Letters 5 (2), 2746-2753, 2020
482020
3d human pose estimation on a configurable bed from a pressure image
HM Clever, A Kapusta, D Park, Z Erickson, Y Chitalia, CC Kemp
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
452018
What does the person feel? learning to infer applied forces during robot-assisted dressing
Z Erickson, A Clegg, W Yu, G Turk, CK Liu, CC Kemp
2017 IEEE International Conference on Robotics and Automation (ICRA), 6058-6065, 2017
452017
Tracking human pose during robot-assisted dressing using single-axis capacitive proximity sensing
Z Erickson, M Collier, A Kapusta, CC Kemp
IEEE Robotics and Automation Letters 3 (3), 2245-2252, 2018
442018
Semi-supervised haptic material recognition for robots using generative adversarial networks
Z Erickson, S Chernova, CC Kemp
1st Annual Conference on Robot Learning (CoRL), 2017
422017
Multimodal material classification for robots using spectroscopy and high resolution texture imaging
Z Erickson, E Xing, B Srirangam, S Chernova, CC Kemp
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
382020
Classification of household materials via spectroscopy
Z Erickson, N Luskey, S Chernova, CC Kemp
IEEE Robotics and Automation Letters 4 (2), 700-707, 2019
382019
Towards assistive feeding with a general-purpose mobile manipulator
D Park, YK Kim, ZM Erickson, CC Kemp
arXiv preprint arXiv:1605.07996, 2016
382016
Multidimensional capacitive sensing for robot-assisted dressing and bathing
Z Erickson, HM Clever, V Gangaram, G Turk, CK Liu, CC Kemp
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR …, 2019
312019
Learning to navigate cloth using haptics
A Clegg, W Yu, Z Erickson, J Tan, CK Liu, G Turk
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
312017
Autonomous Tool Construction Using Part Shape and Attachment Prediction.
L Nair, NS Srikanth, Z Erickson, S Chernova
Robotics: Science and systems 2, 2019
292019
Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds
D Seita, Y Wang, SJ Shetty, EY Li, Z Erickson, D Held
Conference on Robot Learning, 1038-1049, 2023
282023
Causal confusion and reward misidentification in preference-based reward learning
J Tien, JZY He, Z Erickson, AD Dragan, DS Brown
arXiv preprint arXiv:2204.06601, 2022
242022
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