TY - GEN
T1 - New directions
T2 - 15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017
AU - Correll, Nikolaus
AU - Han, Richard
AU - Dutta, Prabal
AU - Pister, Kristofer
PY - 2017
Y1 - 2017
N2 - We describe opportunities and challenges with wireless robotic materials. Robotic materials are multi-functional composites that tightly integrate sensing, actuation, computation and communication to create smart composites that can sense their environment and change their physical properties in an arbitrary programmable manner. Computation and communication in such materials are based on miniature, possibly wireless, devices that are scattered in the material and interface with sensors and actuators inside the material. Whereas routing and processing of information within the material build upon results from the field of sensor networks, robotic materials are pushing the limits of sensor networks in both size (down to the order of microns) and numbers of devices (up to the order of millions). In order to solve the algorithmic and systems challenges of such an approach, which will involve not only computer scientists, but also roboticists, chemists and material scientists, the community requires a common platform — much like the “Mote” that bootstrapped the widespread adoption of the field of sensor networks — that is small, provides ample of computation, is equipped with basic networking functionalities, and preferably can be powered wirelessly.
AB - We describe opportunities and challenges with wireless robotic materials. Robotic materials are multi-functional composites that tightly integrate sensing, actuation, computation and communication to create smart composites that can sense their environment and change their physical properties in an arbitrary programmable manner. Computation and communication in such materials are based on miniature, possibly wireless, devices that are scattered in the material and interface with sensors and actuators inside the material. Whereas routing and processing of information within the material build upon results from the field of sensor networks, robotic materials are pushing the limits of sensor networks in both size (down to the order of microns) and numbers of devices (up to the order of millions). In order to solve the algorithmic and systems challenges of such an approach, which will involve not only computer scientists, but also roboticists, chemists and material scientists, the community requires a common platform — much like the “Mote” that bootstrapped the widespread adoption of the field of sensor networks — that is small, provides ample of computation, is equipped with basic networking functionalities, and preferably can be powered wirelessly.
KW - Multi-functional materials
KW - Robotic Materials
KW - Wireless communication
KW - Wireless power
UR - http://www.scopus.com/inward/record.url?scp=85052017430&partnerID=8YFLogxK
U2 - 10.1145/3131672.3131702
DO - 10.1145/3131672.3131702
M3 - Conference proceeding contribution
T3 - SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
BT - SenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
A2 - Eskicioglu, Rasit
PB - Association for Computing Machinery, Inc
CY - New York, NY
Y2 - 6 November 2017 through 8 November 2017
ER -