JOURNAL ARTICLE

Learning task representations from experienced demonstrations

Monica NicolescuMaja J Matarid

Year: 2001 Journal:   Optics Express Vol: 19 (19)Pages: 18020-8   Publisher: Optica Publishing Group

Abstract

We report a fully packaged silicon passive waveguide device designed for a tunable filter based on a ring-resonator. Polarization diversity circuits prevent polarization dependant issues in the silicon ring-resonator. For the device packaging, the YAG laser welding technique has been used for pigtailing both of the input and output fibers. Post welding misalignment was compensated by mechanical fine tuning using the seesaw effect via power monitoring. Packaging loss less than 1.5 dB with respect to chip measurement has been achieved using 10 µm-curvature radius lensed fibers. In addition, the packaging process and the module performance are presented.

Keywords:
Task (project management) Robot Representation (politics) Computer science Set (abstract data type) Human–computer interaction Artificial intelligence Architecture Knowledge representation and reasoning Task analysis Programming language Engineering

Metrics

4
Cited By
0.44
FWCI (Field Weighted Citation Impact)
15
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Reinforcement Learning in Robotics
Physical Sciences →  Computer Science →  Artificial Intelligence
Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
Machine Learning and Algorithms
Physical Sciences →  Computer Science →  Artificial Intelligence

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