Robot cognition and navigation: an experiment with mobile robots ; with ... 7 tables
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2007
|
Schriftenreihe: | Cognitive technologies
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | XV, 288 S. Ill., graph. Darst. |
ISBN: | 9783540234463 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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020 | |a 9783540234463 |9 978-3-540-23446-3 | ||
024 | 3 | |a 9783540234463 | |
035 | |a (OCoLC)253849893 | ||
035 | |a (DE-599)BVBBV023051640 | ||
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100 | 1 | |a Patnaik, Srikanta |e Verfasser |4 aut | |
245 | 1 | 0 | |a Robot cognition and navigation |b an experiment with mobile robots ; with ... 7 tables |c Srikanta Patnaik |
264 | 1 | |a Berlin [u.a.] |b Springer |c 2007 | |
300 | |a XV, 288 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Cognitive technologies | |
650 | 4 | |a Mobiler Roboter - Bahnplanung - Lokalisierung <Robotik> - Navigation - Genetischer Algorithmus | |
650 | 4 | |a Mobiler Roboter - Maschinelles Lernen - Maschinelles Sehen - Soft Computing | |
650 | 4 | |a Mobiler Roboter - Programmierumgebung - Anwendungsprogramm | |
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650 | 0 | 7 | |a Soft Computing |0 (DE-588)4455833-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Mobiler Roboter |0 (DE-588)4191911-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Genetischer Algorithmus |0 (DE-588)4265092-6 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
_version_ | 1804137284915691520 |
---|---|
adam_text | Contents
1
Cybernetic View of Robot Cognition and Perception
...............1
1.1
Introduction to the Model of Cognition
....................................1
1.1.1
Various States of Cognition
............................................3
1.1.2
Cycles of Cognition
.........................................................5
1.2
Visual Perception
......................................................................7
1.2.1
Human Visual System
.....................................................7
1.2.2
Vision for Mobile Robots
................................................8
1.3
Visual Recognition
...................................................................10
1.3.1
Template Matching
.......................................................11
1.3.2
Feature-Based Model
....................................................11
1.3.3
Fourier Model
................................................................12
1.3.4
Structural Model
............................................................12
1.3.5
The Computational Theory of Marr
..............................13
1.4
Machine Learning
...................................................................13
1.4.1
Properties and Issues in Machine Learning
...................13
1.4.2
Classification of Machine Learning
..............................15
1.5
Soft Computing Tools and Robot Cognition
..........................17
1.5.1
Modeling Cognition Using ANN
..................................17
1.5.2
Fuzzy Logic in Robot Cognition
...................................19
1.5.3
Genetic Algorithms in Robot Cognition
.......................19
1.6
Summary
.................................................................................20
2
Map Building
............................................................21
2.1
Introduction
.............................................................................21
2.2
Constructing a 2D World Map
................................................22
2.2.1
Data Structure for Map Building
...................................22
2.2.2
Explanation of the Algorithm
........................................26
2.2.3
An Illustration of Procedure Traverse Boundary..
27
2.2.4
An Illustration of Procedure Map Building
............29
2.2.5
Robot Simulation
...........................................................31
2.3
Execution of the Map Building Program
................................33
2.4
Summary
.................................................................................38
XII Contents
3.
Path
Planning
..............................................................................39
3.1
Introduction
.............................................................................39
3.2
Representation of the Robot s Environment
...........................39
3.2.1
GVD Using Cellular Automata
......................................40
3.3
Path Optimization by the Quadtree Approach
........................41
3.3.1
Introduction to the Quadtree
..........................................41
3.3.2
Definition
.......................................................................42
3.3.3
Generation of the Quadtree
............................................42
3.4
Neighbor-Finding Algorithms for the Quadtree
.....................47
3.5
The A* Algorithm for Selecting the Best Neighbor
................52
3.6
Execution of the Quadtree-Based Path Planner Program
.......54
3.7
Summary
................................................................................58
4
Navigation Using a Genetic Algorithm
.....................................59
4.1
Introduction
.............................................................................59
4.2
Genetic Algorithms
.................................................................60
4.2.1
Encoding of a Chromosome
..........................................61
4.2.2
Crossover
.......................................................................62
4.2.3
Mutation
........................................................................62
4.2.4
Parameters of a GA
.......................................................63
4.2.5
Selection
........................................................................63
4.3
Navigation by a Genetic Algorithm
........................................64
4.3.1
Formulation of Navigation
............................................64
4.4
Execution of the GA-Based Navigation Program
...................67
4.5
Replanning
by Temporal Associative Memory
......................68
4.5.1
Introduction to
ТАМ
.....................................................68
4.5.2
Encoding and Decoding Process
in a Temporal Memory
.................................................70
4.5.3
An Example in a Semi-dynamic Environment
..............71
4.5.4
Implications of Results
..................................................74
4.6
Summary
.................................................................................75
5
Robot Programming Packages
..................................................77
5.1
Introduction
.............................................................................77
5.2
Robot Hardware and Software Resources
..............................78
5.2.1
Components
...................................................................79
5.3
ARIA
......................................................................................79
5.3.1
ARIA Client-Server
......................................................80
5.3.2
Robot Communication
..................................................84
5.3.3
Opening the Connection
................................................84
5.3.4
ArRobot
.........................................................................85
5.3.5
Range Devices
...............................................................87
5.3.6
Commands and Actions
................................................88
Contents XIII
5.4 Socket
Programming
..............................................................95
5.4.1 Socket Programming in
ARIA
......................................96
5.5 BotSpeak Speech System........................................................98
5.5.1
Functions
.......................................................................98
5.6
Small
Vision System (SVS)..................................................100
5.6.1 SVS C++
Classes
........................................................101
5.6.2 Parameter
Classes
........................................................102
5.6.3 Stereo Image
Class
......................................................102
5.6.4
Acquisition Classes
.....................................................106
5.7
Multithreading
......................................................................112
5.8
Client Front-End Design Using Java
....................................113
5.9
Summary
...............................................................................113
6
Robot Parameter Display
.........................................................115
6.1
Introduction
...........................................................................115
6.2
Flow Chart and Source Code for Robot Parameter
Display
.................................................................................115
6.3
Summary
...............................................................................125
7
Program for BotSpeak
.............................................................127
7.1
Introduction
...........................................................................127
7.2
Flow Chart and Source Code for BotSpeak Program
...........127
7.3
Summary
...............................................................................136
8
Gripper
Control Program
........................................................137
8.1
Introduction
...........................................................................137
8.2
Flow Chart and Source Code for
Gripper
Control
Program
................................................................................137
8.3
Summary
...............................................................................150
9
Program for Sonar Reading Display
.......................................151
9.1
Introduction
...........................................................................151
9.2
Flow Chart and Source Code for Sonar Reading Display
on Client
...............................................................................151
9.3
Summary
...............................................................................161
10
Program for Wandering Within the Workspace
...................163
10.1
Introduction
.........................................................................163
10.2
Algorithm and Source Code for Wandering Within
the Workspace
....................................................................163
10.3
Summary
.............................................................................173
XIV Contents
11
Program
for Tele-operation
.....................................................175
11.1
Introduction
.........................................................................175
11.2
Algorithm and Source Code for Tele-operation
.................175
11.3
Summary
.............................................................................188
12
A Complete Program for Autonomous Navigation
...............189
12.1
Introduction
.........................................................................189
12.2
The ImageServer Program
.................................................190
12.3
The MotionServer Program
...............................................192
12.4
The Navigator Client Program
............................................195
12.5
Summary
.............................................................................199
13
Imaging Geometry
....................................................................201
13.1
Introduction
.........................................................................201
13.2
Necessity for
3D
Reconstruction
........................................201
13.3
Building Perception
............................................................202
13.3.1
Problems of Understanding
3D
Objects from 2D
Imagery
....................................................................203
13.3.2
Process of
3D
Reconstruction
.................................203
13.4
Imaging Geometry
..............................................................205
13.4.1
Image Formation
......................................................205
13.4.2
Perspective Projection in One Dimension
................206
13.4.3
Perspective Projection in
3D.....................................207
13.5
Global Representation
........................................................211
13.6
Transformation to Global Coordinate System
....................217
13.7
Summary
.............................................................................220
14
Image Capture Program
..........................................................221
14.1
Introduction
.........................................................................221
14.2
Algorithm for Image Capture
.............................................221
14.3
Summary
.............................................................................225
15
Building
3D
Perception Using
a
Kalman
Filter
.....................227
15.1
Introduction
.........................................................................227
15.2
Minimal Representation
......................................................227
15.3
Recursive
Kalman
Filter
.....................................................229
15.4
Experiments and Estimation
...............................................231
15.4.1
Reconstruction of
3D
Points
....................................237
15.4.2
Reconstruction of a
3D
Line
....................................242
15.4.3
Reconstruction of a
3D
Plane
...................................246
15.5
Correspondence Problem in
3D
Recovery
..........................249
15.6
Summary
.............................................................................250
Contents
XV
16 Program
for
3D
Perception
......................................................251
16.1
Introduction
.........................................................................251
16.2
Flow Chart and Source Code for
3D
Perception
................251
16.3
Summary
.............................................................................262
17
Perceptions of Non-planar Surfaces
........................................263
17.1
Introduction
.........................................................................263
17.2
Methods of Edge Detection
................................................263
17.3
Curve Tracking and Curve Fitting
......................................266
17.4
Program for Curve Detector
...............................................270
17.5
Summary
.............................................................................275
18
Intelligent Garbage Collection
.................................................277
18.1
Introduction
.........................................................................277
18.2
Algorithms and Source Code for Garbage Collection
........277
18.3
Summary
.............................................................................281
References
...............................................................................................283
Index
........................................................................................................289
Robot
Cognition and Navigation
In this book the author employs a cybernetic view of robot cognition and perception
as he examines mobile robot simulations, realizations and experiments, and explains
the related mathematical models and algorithms. Chapters are dedicated to map
building, path planning, navigation using genetic algorithms, and robot program¬
ming packages. Then detailed chapters examine the programs required for robot
parameter display,
gripper
control, sonar reading display, teleoperation, autonomous
navigation, image capture and
3D
perception.
This book will be useful for students and engineers building intelligent robots, and
researchers migrating to this field. The required source code is included in the book or
available online.
|
adam_txt |
Contents
1
Cybernetic View of Robot Cognition and Perception
.1
1.1
Introduction to the Model of Cognition
.1
1.1.1
Various States of Cognition
.3
1.1.2
Cycles of Cognition
.5
1.2
Visual Perception
.7
1.2.1
Human Visual System
.7
1.2.2
Vision for Mobile Robots
.8
1.3
Visual Recognition
.10
1.3.1
Template Matching
.11
1.3.2
Feature-Based Model
.11
1.3.3
Fourier Model
.12
1.3.4
Structural Model
.12
1.3.5
The Computational Theory of Marr
.13
1.4
Machine Learning
.13
1.4.1
Properties and Issues in Machine Learning
.13
1.4.2
Classification of Machine Learning
.15
1.5
Soft Computing Tools and Robot Cognition
.17
1.5.1
Modeling Cognition Using ANN
.17
1.5.2
Fuzzy Logic in Robot Cognition
.19
1.5.3
Genetic Algorithms in Robot Cognition
.19
1.6
Summary
.20
2
Map Building
.21
2.1
Introduction
.21
2.2
Constructing a 2D World Map
.22
2.2.1
Data Structure for Map Building
.22
2.2.2
Explanation of the Algorithm
.26
2.2.3
An Illustration of Procedure Traverse Boundary.
27
2.2.4
An Illustration of Procedure Map Building
.29
2.2.5
Robot Simulation
.31
2.3
Execution of the Map Building Program
.33
2.4
Summary
.38
XII Contents
3.
Path
Planning
.39
3.1
Introduction
.39
3.2
Representation of the Robot's Environment
.39
3.2.1
GVD Using Cellular Automata
.40
3.3
Path Optimization by the Quadtree Approach
.41
3.3.1
Introduction to the Quadtree
.41
3.3.2
Definition
.42
3.3.3
Generation of the Quadtree
.42
3.4
Neighbor-Finding Algorithms for the Quadtree
.47
3.5
The A* Algorithm for Selecting the Best Neighbor
.52
3.6
Execution of the Quadtree-Based Path Planner Program
.54
3.7
Summary
.58
4
Navigation Using a Genetic Algorithm
.59
4.1
Introduction
.59
4.2
Genetic Algorithms
.60
4.2.1
Encoding of a Chromosome
.61
4.2.2
Crossover
.62
4.2.3
Mutation
.62
4.2.4
Parameters of a GA
.63
4.2.5
Selection
.63
4.3
Navigation by a Genetic Algorithm
.64
4.3.1
Formulation of Navigation
.64
4.4
Execution of the GA-Based Navigation Program
.67
4.5
Replanning
by Temporal Associative Memory
.68
4.5.1
Introduction to
ТАМ
.68
4.5.2
Encoding and Decoding Process
in a Temporal Memory
.70
4.5.3
An Example in a Semi-dynamic Environment
.71
4.5.4
Implications of Results
.74
4.6
Summary
.75
5
Robot Programming Packages
.77
5.1
Introduction
.77
5.2
Robot Hardware and Software Resources
.78
5.2.1
Components
.79
5.3
ARIA
.79
5.3.1
ARIA Client-Server
.80
5.3.2
Robot Communication
.84
5.3.3
Opening the Connection
.84
5.3.4
ArRobot
.85
5.3.5
Range Devices
.87
5.3.6
Commands and Actions
.88
Contents XIII
5.4 Socket
Programming
.95
5.4.1 Socket Programming in
ARIA
.96
5.5 BotSpeak Speech System.98
5.5.1
Functions
.98
5.6
Small
Vision System (SVS).100
5.6.1 SVS C++
Classes
.101
5.6.2 Parameter
Classes
.102
5.6.3 Stereo Image
Class
.102
5.6.4
Acquisition Classes
.106
5.7
Multithreading
.112
5.8
Client Front-End Design Using Java
.113
5.9
Summary
.113
6
Robot Parameter Display
.115
6.1
Introduction
.115
6.2
Flow Chart and Source Code for Robot Parameter
Display
.115
6.3
Summary
.125
7
Program for BotSpeak
.127
7.1
Introduction
.127
7.2
Flow Chart and Source Code for BotSpeak Program
.127
7.3
Summary
.136
8
Gripper
Control Program
.137
8.1
Introduction
.137
8.2
Flow Chart and Source Code for
Gripper
Control
Program
.137
8.3
Summary
.150
9
Program for Sonar Reading Display
.151
9.1
Introduction
.151
9.2
Flow Chart and Source Code for Sonar Reading Display
on Client
.151
9.3
Summary
.161
10
Program for Wandering Within the Workspace
.163
10.1
Introduction
.163
10.2
Algorithm and Source Code for Wandering Within
the Workspace
.163
10.3
Summary
.173
XIV Contents
11
Program
for Tele-operation
.175
11.1
Introduction
.175
11.2
Algorithm and Source Code for Tele-operation
.175
11.3
Summary
.188
12
A Complete Program for Autonomous Navigation
.189
12.1
Introduction
.189
12.2
The ImageServer Program
.190
12.3
The MotionServer Program
.192
12.4
The Navigator Client Program
.195
12.5
Summary
.199
13
Imaging Geometry
.201
13.1
Introduction
.201
13.2
Necessity for
3D
Reconstruction
.201
13.3
Building Perception
.202
13.3.1
Problems of Understanding
3D
Objects from 2D
Imagery
.203
13.3.2
Process of
3D
Reconstruction
.203
13.4
Imaging Geometry
.205
13.4.1
Image Formation
.205
13.4.2
Perspective Projection in One Dimension
.206
13.4.3
Perspective Projection in
3D.207
13.5
Global Representation
.211
13.6
Transformation to Global Coordinate System
.217
13.7
Summary
.220
14
Image Capture Program
.221
14.1
Introduction
.221
14.2
Algorithm for Image Capture
.221
14.3
Summary
.225
15
Building
3D
Perception Using
a
Kalman
Filter
.227
15.1
Introduction
.227
15.2
Minimal Representation
.227
15.3
Recursive
Kalman
Filter
.229
15.4
Experiments and Estimation
.231
15.4.1
Reconstruction of
3D
Points
.237
15.4.2
Reconstruction of a
3D
Line
.242
15.4.3
Reconstruction of a
3D
Plane
.246
15.5
Correspondence Problem in
3D
Recovery
.249
15.6
Summary
.250
Contents
XV
16 Program
for
3D
Perception
.251
16.1
Introduction
.251
16.2
Flow Chart and Source Code for
3D
Perception
.251
16.3
Summary
.262
17
Perceptions of Non-planar Surfaces
.263
17.1
Introduction
.263
17.2
Methods of Edge Detection
.263
17.3
Curve Tracking and Curve Fitting
.266
17.4
Program for Curve Detector
.270
17.5
Summary
.275
18
Intelligent Garbage Collection
.277
18.1
Introduction
.277
18.2
Algorithms and Source Code for Garbage Collection
.277
18.3
Summary
.281
References
.283
Index
.289
Robot
Cognition and Navigation
In this book the author employs a cybernetic view of robot cognition and perception
as he examines mobile robot simulations, realizations and experiments, and explains
the related mathematical models and algorithms. Chapters are dedicated to map
building, path planning, navigation using genetic algorithms, and robot program¬
ming packages. Then detailed chapters examine the programs required for robot
parameter display,
gripper
control, sonar reading display, teleoperation, autonomous
navigation, image capture and
3D
perception.
This book will be useful for students and engineers building intelligent robots, and
researchers migrating to this field. The required source code is included in the book or
available online. |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Patnaik, Srikanta |
author_facet | Patnaik, Srikanta |
author_role | aut |
author_sort | Patnaik, Srikanta |
author_variant | s p sp |
building | Verbundindex |
bvnumber | BV023051640 |
classification_rvk | ST 308 ZQ 6230 ZQ 6250 |
classification_tum | DAT 815f PSY 210f |
ctrlnum | (OCoLC)253849893 (DE-599)BVBBV023051640 |
dewey-full | 004 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 004 - Computer science |
dewey-raw | 004 |
dewey-search | 004 |
dewey-sort | 14 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Psychologie Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
discipline_str_mv | Informatik Psychologie Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
format | Book |
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id | DE-604.BV023051640 |
illustrated | Illustrated |
index_date | 2024-07-02T19:24:50Z |
indexdate | 2024-07-09T21:09:51Z |
institution | BVB |
isbn | 9783540234463 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016255006 |
oclc_num | 253849893 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-703 DE-92 DE-83 DE-91 DE-BY-TUM |
owner_facet | DE-355 DE-BY-UBR DE-703 DE-92 DE-83 DE-91 DE-BY-TUM |
physical | XV, 288 S. Ill., graph. Darst. |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Springer |
record_format | marc |
series2 | Cognitive technologies |
spelling | Patnaik, Srikanta Verfasser aut Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables Srikanta Patnaik Berlin [u.a.] Springer 2007 XV, 288 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cognitive technologies Mobiler Roboter - Bahnplanung - Lokalisierung <Robotik> - Navigation - Genetischer Algorithmus Mobiler Roboter - Maschinelles Lernen - Maschinelles Sehen - Soft Computing Mobiler Roboter - Programmierumgebung - Anwendungsprogramm Anwendungsprogramm (DE-588)4395354-2 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Programmierumgebung (DE-588)4134837-0 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Mobiler Roboter (DE-588)4191911-7 gnd rswk-swf Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Lokalisierung Robotik (DE-588)7569134-6 gnd rswk-swf Bahnplanung (DE-588)4267628-9 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Navigation (DE-588)4041457-7 gnd rswk-swf Mobiler Roboter (DE-588)4191911-7 s Maschinelles Lernen (DE-588)4193754-5 s Maschinelles Sehen (DE-588)4129594-8 s Soft Computing (DE-588)4455833-8 s DE-604 Bahnplanung (DE-588)4267628-9 s Lokalisierung Robotik (DE-588)7569134-6 s Navigation (DE-588)4041457-7 s Genetischer Algorithmus (DE-588)4265092-6 s Programmierumgebung (DE-588)4134837-0 s Anwendungsprogramm (DE-588)4395354-2 s Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016255006&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016255006&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Patnaik, Srikanta Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables Mobiler Roboter - Bahnplanung - Lokalisierung <Robotik> - Navigation - Genetischer Algorithmus Mobiler Roboter - Maschinelles Lernen - Maschinelles Sehen - Soft Computing Mobiler Roboter - Programmierumgebung - Anwendungsprogramm Anwendungsprogramm (DE-588)4395354-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Programmierumgebung (DE-588)4134837-0 gnd Soft Computing (DE-588)4455833-8 gnd Mobiler Roboter (DE-588)4191911-7 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Lokalisierung Robotik (DE-588)7569134-6 gnd Bahnplanung (DE-588)4267628-9 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Navigation (DE-588)4041457-7 gnd |
subject_GND | (DE-588)4395354-2 (DE-588)4193754-5 (DE-588)4134837-0 (DE-588)4455833-8 (DE-588)4191911-7 (DE-588)4265092-6 (DE-588)7569134-6 (DE-588)4267628-9 (DE-588)4129594-8 (DE-588)4041457-7 |
title | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables |
title_auth | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables |
title_exact_search | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables |
title_exact_search_txtP | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables |
title_full | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables Srikanta Patnaik |
title_fullStr | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables Srikanta Patnaik |
title_full_unstemmed | Robot cognition and navigation an experiment with mobile robots ; with ... 7 tables Srikanta Patnaik |
title_short | Robot cognition and navigation |
title_sort | robot cognition and navigation an experiment with mobile robots with 7 tables |
title_sub | an experiment with mobile robots ; with ... 7 tables |
topic | Mobiler Roboter - Bahnplanung - Lokalisierung <Robotik> - Navigation - Genetischer Algorithmus Mobiler Roboter - Maschinelles Lernen - Maschinelles Sehen - Soft Computing Mobiler Roboter - Programmierumgebung - Anwendungsprogramm Anwendungsprogramm (DE-588)4395354-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Programmierumgebung (DE-588)4134837-0 gnd Soft Computing (DE-588)4455833-8 gnd Mobiler Roboter (DE-588)4191911-7 gnd Genetischer Algorithmus (DE-588)4265092-6 gnd Lokalisierung Robotik (DE-588)7569134-6 gnd Bahnplanung (DE-588)4267628-9 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Navigation (DE-588)4041457-7 gnd |
topic_facet | Mobiler Roboter - Bahnplanung - Lokalisierung <Robotik> - Navigation - Genetischer Algorithmus Mobiler Roboter - Maschinelles Lernen - Maschinelles Sehen - Soft Computing Mobiler Roboter - Programmierumgebung - Anwendungsprogramm Anwendungsprogramm Maschinelles Lernen Programmierumgebung Soft Computing Mobiler Roboter Genetischer Algorithmus Lokalisierung Robotik Bahnplanung Maschinelles Sehen Navigation |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016255006&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016255006&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT patnaiksrikanta robotcognitionandnavigationanexperimentwithmobilerobotswith7tables |