Biomechatronics Lab postdoctoral researcher Dr. Eunsuk Chong and doctoral student Lionel Zhang co-authored a paper titled, “A learning-based harmonic mapping: Framework, assessment, and case study of human-to-robot hand pose mapping,” which has been accepted for publication in the International Journal of Robotics Research (IJRR).  This work was supported in part by National Science Foundation Award #1463960, Office of Naval Research Awards N00014-16-1-2468 and N00014-18-1-2814, and Advanced Robotics for Manufacturing Institute Award ARM-TEC-18-01-F-14.

Citation:
Chong, E., Zhang, L., and Santos, V.J. “A learning-based harmonic mapping: Framework, assessment, and case study of human-to-robot hand pose mapping,” Intl Journal of Robotics Research, 2021:40(2-3). doi.org/10.1177/0278364920962205.