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Learning Representations that Enable Generalization in Assistive Tasks.

J. He, Z. Erickson, D. Brown, A. Raghunathan, и A. Dragan. CoRL, том 205 из Proceedings of Machine Learning Research, стр. 2105-2114. PMLR, (2022)

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Sandra Erickson

Susan J Erickson

Другие публикации лиц с тем же именем

Learning Representations that Enable Generalization in Assistive Tasks.J. He, Z. Erickson, D. Brown, A. Raghunathan, и A. Dragan. CoRL, том 205 из Proceedings of Machine Learning Research, стр. 2105-2114. PMLR, (2022)Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction.Z. Erickson, H. Clever, V. Gangaram, E. Xing, G. Turk, C. Liu, и C. Kemp. CoRR, (2021)What does the person feel? Learning to infer applied forces during robot-assisted dressing.Z. Erickson, A. Clegg, W. Yu, G. Turk, C. Liu, и C. Kemp. ICRA, стр. 6058-6065. IEEE, (2017)Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing.Z. Erickson, H. Clever, V. Gangaram, G. Turk, C. Liu, и C. Kemp. ICORR, стр. 224-231. IEEE, (2019)Robust Body Exposure (RoBE): A Graph-Based Dynamics Modeling Approach to Manipulating Blankets Over People.K. Puthuveetil, S. Wald, A. Pusalkar, P. Karnati, и Z. Erickson. IEEE Robotics Autom. Lett., 8 (10): 6299-6306 (октября 2023)Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction.Z. Erickson, H. Clever, V. Gangaram, E. Xing, G. Turk, C. Liu, и C. Kemp. IEEE Trans. Robotics, 39 (1): 357-372 (февраля 2023)ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds.D. Seita, Y. Wang, S. Shetty, E. Li, Z. Erickson, и D. Held. CoRL, том 205 из Proceedings of Machine Learning Research, стр. 1038-1049. PMLR, (2022)Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging.Z. Erickson, E. Xing, B. Srirangam, S. Chernova, и C. Kemp. IROS, стр. 10452-10459. IEEE, (2020)EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics.A. Longhini, M. Moletta, A. Reichlin, M. Welle, D. Held, Z. Erickson, и D. Kragic. ICRA, стр. 3875-3881. IEEE, (2023)A multimodal execution monitor with anomaly classification for robot-assisted feeding.D. Park, H. Kim, Y. Hoshi, Z. Erickson, A. Kapusta, и C. Kemp. IROS, стр. 5406-5413. IEEE, (2017)

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