The nn4mc pipeline: from trained model to embedded source code

Embedded Neural Networks for Robot Autonomy

Nov. 1, 2019

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 then transferred onto general purpose microcontrollers that are co-located with a robot's sensors and...

ROGR: Remotely Operated Gardening Rover performs plant care tasks alongside the astronaut and is able to assist automatically or via remote operation.

SIRONA: Sustainable Integration of Regenerative Outer-space Nature and Agriculture. Part 1 - Architecture and Technology

July 7, 2019

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 optimization of edible biomass and caloric content. In light of advances in horticulture, human space flight science, technology...

Materials need to blur the boundary between perception and control

Materials that make robots smart

June 13, 2019

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 control by the tight integration of sensors, actuators, computation, and communication. We...

Swarm of 100 droplets self-localizing using range and bearing information

Fault-tolerant covariance intersection for localizing robot swarms

April 10, 2019

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 approximate distance metric heuristics based on properties of the communication graph. We present a new cooperative...