Publication Type |
technical report |
School or College |
College of Engineering |
Department |
Computing, School of |
Program |
Advanced Research Projects Agency |
Creator |
Henderson, Thomas C.; Sikorski, Christopher |
Other Author |
Deshpande, Nikhil; Grant, Eddie |
Title |
Symmetry: a basis for sensorimotor reconstruction |
Date |
2011 |
Description |
Given a set of unknown sensors and actuators, sensorimotor reconstruction is achieved by exploiting relations between the sensor data and the actuator control data to determine sets of similar sensors, sets of similar actuators, necessary relations between them, as well as sensorimotor relations to the environment. Several Author's have addressed this problem, and we propose here a principled approach that exploits various symmetries and that achieves more efficient and robust results. A theoretical position is defined, the approach shown more efficient than previous work, and experimental results given. |
Type |
Text |
Publisher |
University of Utah |
Subject |
sensorimotor reconstruction; sensor data; actuator control data |
Language |
eng |
Bibliographic Citation |
Henderson, T. C., Deshpande, N., Sikorski, C., & Grant, E. (2011). Symmetry: a basis for sensorimotor reconstruction. UUCS-11-001. |
Series |
University of Utah Computer Science Technical Report |
Relation is Part of |
ARPANET |
Rights Management |
©University of Utah |
Format Medium |
application/pdf |
Format Extent |
201,586 bytes |
Source |
University of Utah School of Computing |
ARK |
ark:/87278/s6vt298m |
Setname |
ir_uspace |
ID |
703285 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6vt298m |