Gafford, J.
Doshi-Velez, F.
Wood, R.
Walsh, C.
Funding for this research was provided by:
Defense Advanced Research Projects Agency (FA8650-15-C-7548)
Wyss Institute for Biologically Inspired Engineering
John A. Paulson School of Engineering and Applied Sciences at Harvard University
This article is maintained by: Elsevier
Article Title: Machine learning approaches to environmental disturbance rejection in multi-axis optoelectronic force sensors
Journal Title: Sensors and Actuators A: Physical
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.sna.2016.06.036
Content Type: article
Copyright: © 2016 Elsevier B.V. All rights reserved.