My research broadly explores physical human-robot interaction, with an emphasis on physical robotic caregiving. I am especially interested in how robots can leverage physics-based simulation and learning to more efficiently and safely assist people with physical disabilities to perform activities of daily living. My work spans the fields of physically assistive robotics, haptic perception, learning, physics simulation, and human-robot interaction towards robotic caregivers that intelligently interact with and assist people. I often work with Karen Liu, Greg Turk, and Sonia Chernova, towards these goals.
News and Recent Papers
I am organizing an accepted ICRA 2021 workshop Learning for Caregiving Robots!
Z. Erickson*, Y. Gu*, and C. C. Kemp, “Assistive VR Gym: Using Interactions with Real People to Improve Virtual Assistive Robots”, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020.
Z. Erickson, E. Xing, B. Srirangam, S. Chernova, and C. C. Kemp, “Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
Z. Erickson, V. Gangaram, A. Kapusta, C. K. Liu, and C. C. Kemp, “Assistive Gym: A Physics Simulation Framework for Assistive Robotics”, IEEE International Conference on Robotics and Automation (ICRA), 2020.
Z. Erickson, H. M. Clever, V. Gangaram, G. Turk, C. K. Liu, and C. C. Kemp, “Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing”, IEEE International Conference on Rehabilitation Robotics (ICORR), 2019. (Best Student Paper Award)
Z. Erickson, N. Luskey, S. Chernova, and C. C. Kemp, “Classification of Household Materials via Spectroscopy”, IEEE Robotics and Automation Letters (RA-L), 2019. (presented at ICRA 2019) (Best Paper Award in Service Robotics finalist at IEEE Conference on Robotics and Automation (ICRA 2019))