Muutke küpsiste eelistusi

Robotic Intelligence [Kõva köide]

Edited by (Univ Of California, Irvine, Usa)
Teised raamatud teemal:
Teised raamatud teemal:
Computer scientists report on robotic intelligence as the ability to interface and interact with humans with the form of natural languages and map them onto semantic services, to understand the intentions of users and develop them into plans to deliver the outcomes by means of robotics, and to develop capability for processing and analyzing massive data on-the-fly in big data environments. Their topics include goodness-of-fit of statistical distributions, the automatic analysis of microblogging data to aid in emergency management, cooperative obstacle avoidance for heterogeneous unmanned systems during search missions, efficient resource allocation for decentralized heterogeneous systems using a density estimation approach, and robotic intelligence and computational creativity. Annotation ©2019 Ringgold, Inc., Portland, OR (protoview.com)

This volume aims to provide a reference to the development of robotic intelligence, built upon Semantic Computing, in terms of "action" to realize the "context" and "intention" formulated by Semantics Computing during the "thinking" or reasoning process. It addresses three core areas: Ability to interface and interact with human in the form of natural languages and map them onto Semantic Services, Understanding the (possibly naturally-expressed) intentions (semantics) of users and develop into plans to deliver the outcomes by means of robots, Improve on the sophistication in a big data environment to develop the capability to process and analyze massive data on-the-fly.

Foreword v
Part 1 Understanding Semantics
1(8)
Goodness of machine learning models
3(6)
J. R. Barr
Part 2 Data Science
9(20)
Goodness-of-fit of statistical distributions
11(6)
J. R. Barr
S. Zacks
Forensics: Assessing model goodness: A machine learning view
17(8)
J. R. Barr
J. Cavanaugh
Diffusion analysis
25(4)
M. Kim
M. Hayakawa
Part 3 Data Integration
29(12)
Network analysis and GOLAP
31(10)
J. Jin
M. Hayakawa
Part 4 Applications
41(36)
Automatic analysis of microblogging data to aid in emergency management
43(12)
S. Manna
Applications of natural language processing (NLP) for improving classroom learning experiences using student surveys
55(6)
P. Kuiper
K. Hood
A semantic recommendation system for cancer-related articles
61(8)
C. C. N. Wang
Y.-L. Chung
I.-S. Chang
J. J. P. Tsai
Rapid qualification of mereotopological relationships using signed distance fields
69(8)
R. Schubotz
C. Vogelgesang
D. Rubinstein
Part 5 Robotic Intelligence
77
A learning from demonstration framework for implementation of a feeding task
79(12)
N. Ettehadi
A. Behal
Cooperative obstacle avoidance for heterogeneous unmanned systems during search mission
91(8)
K. Harikumar
T. Bera
R. Bardhan
S. Sundaram
Improving code quality in ROS packages using a temporal extension of first-order logic
99(12)
D. Come
J. Brunei
D. Doose
Integrating planning and reactive behavior by using semantically annotated robot tasks
111(10)
A. Schierl
A. Hoffmann
L. Nagele
W. Reif
Portmanteau word-play for vocabulary enhancement with humanoid robot support
121(8)
D. Schicchi
G. Pilato
Enhanced navigation using computer vision-based steering angle calculation for autonomous vehicles
129(8)
M. R. Rochan
K. A. Alagammai
J. Sujatha
Efficient resource allocation for decentralized heterogeneous system using density estimation approach
137(8)
J. Senthilnath
K. Harikumar
S. Suresh
Robotic control for cognitive UWB radar
145(8)
S. Bruggenwirth
F. Rial
A mixed real-time robot hardware abstraction layer (R-HAL)
153(8)
G. F. Rigano
L. Muratore
A. Laurenzi
E. M. Hoffman
N. G. Tsagarakis
Robotic intelligence and computational creativity
161
A. Augello
I. Infantino
U. Maniscalco
G. Pilato
R. Rizzo
F. Vella