Publication
We present a library to automatically embed signal processing and neural network predictions into the material robots are made of. Deep and shallow neural network models are first trained offline using state-of-the-art machine learning tools and
Plant growth systems are a critical component of a comprehensive Bioregenerative Life Support System (BLiSS) for long-duration human space exploration missions. Previous BLiSS technology development and crop selection have primarily focused on
We posit that embodied artificial intelligence is not only a computational but also a materials problem. While the importance of material and structural properties in the control loop are well understood, materials can take an active role during
This paper examines the important problem of cooperative localization in robot swarms, in the presence of unmodeled errors experienced by real sensors in hardware platforms. Many existing methods for cooperative swarm localization rely on