most citedNew Directions: Wireless Robotic Materials

6 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2017

Materials that make robots smart

Nikolaus Correll, Christoffer Heckman

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…

cs.RO20172 cited

Distributed Camouflage for Swarm Robotics and Smart Materials

Yang Li, John Klingner, Nikolaus Correll

We present a distributed algorithm for a swarm of active particles to camouflage in an environment. Each particle is equipped with sensing, computation and communication, allowing…

cs.RO20176 cited

New Directions: Wireless Robotic Materials

Nikolaus Correll, Prabal Dutta, Richard Han +1

We describe opportunities and challenges with wireless robotic materials. Robotic materials are multi-functional composites that tightly integrate sensing, actuation, computation a…

cs.LG2016

Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication

Dana Hughes, Nikolaus Correll

This paper reviews machine learning applications and approaches to detection, classification and control of intelligent materials and structures with embedded distributed computati…

cs.RO2016

Morphological and Embedded Computation in a Self-contained Soft Robotic Hand

Nicholas Farrow, Yang Li, Nikolaus Correll

We present a self-contained, soft robotic hand composed of soft pneumatic actuator modules that are equipped with strain and pressure sensing. We show how this data can be used to…