The Community for Technology Leaders
Green Image
Issue No. 02 - April-June (2010 vol. 9)
ISSN: 1536-1268
pp: 37-45
Matthew Reynolds , Duke University
Charles Kemp , Georgia Institute of Technology
Travis Deyle , Georgia Institute of Technology
Hai Nguyen , Georgia Institute of Technology
In the future, pervasive automation might only require buying a robot, bringing it home, and turning it on. An autonomous robot that moves throughout a building and manipulates objects could automate a variety of tasks and provide a missing interface between computation and the physical world. Today, however, robots have great difficulty perceiving, manipulating, and understanding the world. Labeling important objects in the world for robots could help them overcome these challenges and accelerate deployment. One step toward this vision is a prototype mobile robot that manipulates objects labeled with ultrahigh-frequency RFID tags. Using the tags' unique IDs, a semantic database, and RF perception via actuated antennas, the robot reliably interacts with people and approaches and manipulates tagged objects.
robotics, radio frequency identification, RFID, ultrahigh frequency, mobile manipulation, pervasive computing, ubiquitous computing, human-robot interaction
Matthew Reynolds, Charles Kemp, Travis Deyle, Hai Nguyen, "RFID-Guided Robots for Pervasive Automation", IEEE Pervasive Computing, vol. 9, no. , pp. 37-45, April-June 2010, doi:10.1109/MPRV.2010.17
88 ms
(Ver 3.1 (10032016))