Design and control of intelligent robotic systems:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2009
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| Schriftenreihe: | Studies in computational intelligence
177 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XXIII, 476 S. Ill., graph. Darst. |
| ISBN: | 9783540899327 |
Internformat
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Datensatz im Suchindex
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| adam_text | CONTENTS COMPUTATIONAL INTELLIGENCE TECHNIQUES IN BIO-INSPIRED ROBOTICS
1 M. BEGUM, F. KARRAY 1.1 INTRODUCTION 1 1.2 BIO-INSPIRED ROBOTICS AND
TOOLS OF COMPUTATIONAL INTELLIGENCE: THE HISTORIC SYNERGY 2 1.2.1
OVERVIEW 2 1.2.2 THE CI TOOLS MOST COMMONLY USED IN BIO-INSPIRED
ROBOTICS 3 1.3 BIO-INSPIRED ROBOTICS: AN EMERGING RESEARCH FIELD 4 1.4
COGNITIVE MODELING FOR AUTONOMOUS ROBOTS: CI-BASED APPROACHES 7 1.4.1
COGNITION: ROBOT AND HUMAN 7 1.4.2 VALUE SYSTEM 9 1.4.3 VISUAL ATTENTION
12 1.4.4 SOCIAL COGNITION 14 1.5 CONCLUSION 19 REFERENCES 20 SWARM
INTELLIGENCE FOR COLLECTIVE ROBOTIC SEARCH 29 LISA L. GRANT, GANESH K.
VENAYAGAMOORTHY 2.1 COLLECTIVE ROBOTIC SEARCH 29 2.2 NAVIGATION
STRATEGIES 31 2.2.1 GREEDY SEARCH - A CONVENTIONAL METHOD 31 2.2.2
PARTICLE SWARM OPTIMIZATION 33 2.2.3 FUZZY LOGIC 34 2.3 SINGLE TARGET
OBSTACLE-FREE ENVIRONMENT 38 2.4 MULTIPLE TARGET/OBSTACLE ENVIRONMENT 40
2.4.1 OBSTACLE AVOIDANCE METHOD 40 2.4.2 CASE STUDY 1: SINGLE SWARM 41
2.4.3 CASE STUDY 2: MULTIPLE SWARMS 44 BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/991139615 DIGITALISIERT DURCH CONTENTS 2.5 CONCLUSION
45 REFERENCES ^6 A GLOWWORM SWARM OPTIMIZATION BASED MULTI-ROBOT SYSTEM
FOR SIGNAL SOURCE LOCALIZATION 49 K.N. KRISHNANAND, D. GHOSE 3.1
INTRODUCTION 49 3.2 PRIOR WORK 51 3.3 THE GSO ALGORITHM 52 3.3.1 GSO
ALGORITHM DESCRIPTION 52 3.3.2 A SIMULATION EXAMPLE TO ILLUSTRATE BASIC
WORKING OF GSO 54 3.4 ALGORITHMIC MODIFICATIONS FOR ROBOTIC
IMPLEMENTATION 55 3.4.1 OBSTACLE AVOIDANCE MODEL 56 3.4.2 IMPLEMENTATION
MODELS FOR LEAPFROGGING BEHAVIOR 56 3.5 KINBOTS: MULTI-ROBOT PLATFORM
FOR REAL-ROBOT-EXPERIMENTS .... 57 3.5-1 RELATIVE LOCALIZATION OF
NEIGHBORS 59 3.5.2 LUCIFERIN GLOW/RECEPTION 60 3.6
REAL-ROBOT-EXPERIMENTS 60 3.6.1 EXPERIMENT 1: BASIC GSO BEHAVIOR 60
3.6.2 EXPERIMENT 2: LEAPFROGGING BEHAVIOR 63 3.6.3 EXPERIMENT 3:
LOCALIZATION OF A SINGLE LIGHT SOURCE 65 3.7 CONCLUDING REMARKS 67
REFERENCES 67 EVOLUTIONARY ROBOTICS: FROM SIMULATION-BASED BEHAVIOR
LEARNING TO DIRECT TEACHING IN REAL ENVIRONMENTS 69 SEIJI YAMADA,
DAISUKE KATAGAMI 4.1 INTRODUCTION 69 4.2 SIMULATION-BASED BEHAVIOR
LEARNING USING GENETIC ALGORITHM 70 4.2.1 RELATED WORK 71 4.2.2 TASK:
ACTION-BASED ENVIRONMENT MODELING 72 4.2.3 STATES, ACTIONS AND
ENVIRONMENT VECTORS 73 4.2. CONTENTS XI RANKED PARETO PARTICLE SWARM
OPTIMIZATION FOR MOBILE ROBOT MOTION PLANNING 97 D. WANG, N.M. KWOK,
D.K. LIU, Q.P. HA 5.1 INTRODUCTION 97 5.2 RANKED PARETO PARTICLE SWARM
OPTIMIZATION 99 5.2.1 KEY CONCEPTS IN MOPS 99 5.2.2 PARTICLE SWARM
OPTIMIZATION 100 5.2.3 RANKED PARETO PARTICLE SWARM OPTIMIZATION 100 5.3
F 2 METHOD 106 5.3.1 DEFINITION OF A FORCE FIELD 107 5.3.2 ATTRACTIVE
FORCE 108 5.3.3 REACTION FORCE 109 5.3.4 VSF 2 METHOD 109 5.4 USING
RPPSO FOR MULTIOBJECTIVE OPTIMIZATION OF F 2 METHOD ILL 5.4.1 CASE 1:
SINGLE ROBOT AND ONE OBSTACLE 112 5.4.2 CASE 2: TWO ROBOTS NAVIGATING IN
A CORRIDOR 115 5.5 CONCLUSION 116 REFERENCES 117 PATH PLANNING INSPIRED
ON EMOTIONAL INTELLIGENCE 119 R. BARBER, V. EGIDO, M. MALFAZ, M.A.
SALICHS 6.1 INTRODUCTION 119 6.2 THE PATH PLANNING PROBLEM 119 6.3
EMOTIONS IN ROBOTICS 120 6.4 TOPOLOGICAL REPRESENTATION OF THE
ENVIRONMENT 121 6.5 PATH PLANNING ALGORITHM INSPIRED ON EMOTIONS 121
6.5.1 ENVIRONMENT REPRESENTATION: THE NAVIGATION CHART .... 122 6.5. XII
CONTENTS 7.4.1 EXPERIMENTAL SETUP 141 7.4.2 RESULTS 141 7.5
HETEROGENEITY FROM SENSOR SCALING 142 7.5.1 EXPERIMENTAL SETUP 143 7.5.2
RESULTS 143 7.6 DIVERSITY IN EVOLVING ROBOT SWARMS 1 4 5 7.6.1 EUCLIDEAN
DIVERSITY 1 4 5 7.6.2 ENTROPIC DIVERSITY 1 4 5 7.6.3 RESULTS 146 7.7
DISCUSSION 148 7.8 CONCLUSION AND OUTLOOK 150 REFERENCES 150 8 ROBOT
CONTROL IN DYNAMIC ENVIRONMENTS USING MEMORY-BASED LEARNING 153 PATRICK
M. MCDOWELL, BRIAN S. BOURGEOIS, FREDERICK E. PETRY 8.1 INTRODUCTION 153
8.2 ROV/UUV BACKGROUND 154 8.3 MEMORY BASED LEARNING 156 8.4 GENETIC
ALGORITHM TRAINING OF NEURAL NETWORK CONTROLLERS 159 8.5 REACTIVE
CONTROLLER 161 8.6 MEMORY BASED CONTROLLER 162 8.7 EXPERIMENTAL RESULTS
164 8.8 CONCLUSIONS 168 REFERENCES 169 9 A BEHAVIOR BASED CONTROL AND
LEARNING APPROACH TO REAL ROBOTS 171 DONGBING GU, JINDONG LIU, HUOSHENG
HU 9.1 INTRODUCTION 171 9.2 LAYERED CONTROL ARCHITECTURE 173 9.2.1
LOCOMOTION LAYER 174 9.2.2 BEHAVIOR LAYER 174 9.2.3 COGNITIVE LAYER 175
9.3 BEHAVIOR DESIGN USING FUZZY LOGIC 176 9. CONTENTS XIII 10.2 REVIEW
OF RELATED WORKS 189 10.2.1 DIRECT GENETIC ENCODING APPROACHES 189
10.2.2 INDIRECT GENETIC ENCODING APPROACHES 190 10.3 EVOLUTIONARY
ACQUISITION OF NEURAL TOPOLOGIES (EANT) 191 10.3.1 COMMON GENETIC
ENCODING (CGE) 191 10.3.2 GENETIC OPERATORS 193 10.3.3 EVALUATING A
LINEAR GENOME 195 10.3.4 GENERATING THE INITIAL POPULATION 198 10.3.5
EXPLOITATION AND EXPLORATION OF STRUCTURES 198 10.4 PRACTICAL
APPLICATIONS 199 10.4.1 CRAWLING ROBOTIC INSECT 200 10.4.2 POLE
BALANCING 202 10.5 SUMMARY 206 REFERENCES 206 11 EVOLUTIONARY
TERRAIN-BASED NAVIGATION OF AUTONOMOUS MOBILE ROBOTS 209 TERRENCE P.
FRIES 11.1 INTRODUCTION 209 11.2 EVOLUTIONARY COMPUTATION 213 11.3
MOTION PLANNING ALGORITHM 214 11.3.1 ASSUMPTIONS 214 11.3.2
REPRESENTATION OF THE ENVIRONMENT AS A GRID 214 11.3.3 ENCODING THE
CHROMOSOME 215 11.3.4 INITIAL POPULATION 216 11.3.5 GENETIC OPERATORS
AND PARAMETERS 217 11.3.6 FUZZY TERRAIN CONDITIONS IN THE FITNESS
FUNCTION 217 11.3.7 OPERATION IN A DYNAMIC ENVIRONMENT 218 11.4 TEST
RESULTS 218 11.5 CONCLUSIONS 223 REFERENCES 224 12 A NOVEL INTELLIGENT
CONTROL APPROACH FOR PRECISE TRACKING OF AUTONOMOUS ROBOTS 227 SUKUMAR
KAMALASADAN, ADEL A. GHANDAKLY 12.1 INTRODUCTION 227 12. XIV CONTENTS
12.3.5 MODIFICATIONS OF ADAPTIVE LAWS BASED ON NNPAC THEORY 237 12.3.6
ONLINE GROWING RBFNN DESIGN AND ITS PROPERTIES 237 12.3.7 NNPAC FEATURES
AND ALGORITHMIC DEVELOPMENT 241 12.4 APPLICATION TO POSITION TRACKING OF
ROBOTS 242 12.4.1 SIMULATION RESULTS AND DISCUSSIONS 244 12.5 REAL-TIME
IMPLEMENTATIONS AND EXPERIMENTAL RESULTS 248 12.5.1 DESIGN DETAILS AND
ALGORITHMIC FLOW CHART 248 12.5.2 EXPERIMENTAL RESULTS 253 12.6
CONCLUSIONS 253 REFERENCES 254 13 PUNCTUATED ANYTIME LEARNING TO EVOLVE
ROBOT CONTROL FOR AREA COVERAGE 255 GARY B. PARKER 13.1 INTRODUCTION 255
13.2 AREA COVERAGE 257 13.2.1 PREVIOUS RESEARCH 257 13.2.2 RESEARCH
ENVIRONMENT 258 13.3 THE SERVOBOT 259 13.3.1 GAIT CYCLES 259 13.3.2
PRODUCTION OF TURNS IN GAIT CYCLES 260 13.3.3 SIMULATED ROBOT 261 13.4
CYCLIC GENETIC ALGORITHMS 262 13.4.1 CGAS APPLIED TO AREA COVERAGE 263
13.4.2 TESTS 264 13.5 PUNCTUATED ANYTIME LEARNING 265 13.5.1 ANYTIME
LEARNING 265 13.5.2 AN EXTENSION TO ANYTIME LEARNING 266 13.5.3 FITNESS
BIASING 267 13.5.4 THE CO-EVOLUTION OF MODEL PARAMETERS 268 13.6
LEARNING AREA COVERAGE USING THE CO-EVOLUTION OF MODEL PARAMETERS 270
13.6.1 PARTIAL RECOMBINATION USED IN THE EVOLUTION OF MODEL PARAMETERS
271 13.6.2 PUNCTUATED ANYTIME LEARNING IN SIMULATION 272 13.6. CONTENTS
XV 14.3 DEVELOPING GROUNDED SPATIAL REFERENCES 284 14.3.1 GROUNDING
LOCATIONS 285 14.3.2 SHARING GROUNDINGS 286 14.3.3 CONSISTENCY AMONG A
GROUP OF AGENTS 286 14.4 IMPLEMENTATION 288 14.4.1 LOCATION GROUNDING
BEHAVIOURS 289 14.4.2 SHARING GROUNDINGS 291 14.5 EVALUATION 294 14.6
CONCLUSIONS 299 REFERENCES 300 15 VISION SLAM MAPS: TOWARDS RICHER
CONTENT 303 DANIEL C. ASMAR, SAMER M. ABDALLAH, JOHN S. ZELEK 15.1
INTRODUCTION 303 15.2 INERTIAL NAVIGATION SYSTEM 305 15.3 COMPUTER
VISION SYSTEM 307 15.3.1 VISUAL ENVIRONMENT RECOGNITION 308 15.3.2 TREE
DETECTION 309 15.3.3 TREE RECOGNITION 311 15.3.4 TREE INITIALIZATION 311
15.4 VISION SLAM SYSTEM 312 15.5 EXPERIMENTS AND RESULTS 315 15.5.1
RUN-TIME 321 15.6 CONCLUSIONS 322 APPENDIX 322 REFERENCES 328 16
LEARNING OF HIERARCHICAL PERCEPTION-ACTION CYCLES 331 FLORIAN HOPPE,
GERALD SOMMER 16.1 INTRODUCTION 331 16.1.1 CHALLENGES AND STATE OF THE
ART SOLUTIONS 332 16.1.2 MACHINE LEARNING TECHNIQUES IN ROBOTICS 333
16.1.3 STRUCTURE OF THE CHAPTER 334 16.2 SOFTWARE ARCHITECTURE FOR
ARTIFICIAL COGNITIVE SYSTEMS 334 16.2.1 OVERVIEW OF THE SOFTWARE
ARCHITECTURE 335 16.2.2 CONCRETE VISUAL ROBOTIC SYSTEM 336 16.2.3
DYNAMIC OF THE DEMONSTRATOR 337 16. XVI CONTENTS 17 ADVANCING ARTIFICIAL
INTELLIGENCE THROUGH MINIMALIST HUMANOID ROBOTICS 355 JACKY BALTES, JOHN
ANDERSON 17.1 INTRODUCTION 355 17.2 TAO-PIE-PIE 357 17.3 RELATED WORK
358 17.3.1 VIKI 358 17.3.2 PINO AND MORPH 359 17.3.3 ROBO ERECTUS 359
17.3.4 KAIST ROBOT 359 17.3.5 JOHNNY WALKER 359 17.3.6 DEVELOPMENT OF
WALKING GAITS 359 17.4 DESIGN REQUIREMENTS 360 17.5 MECHANICAL DESIGN OF
TAO-PIE-PIE 360 17.6 DEVELOPMENT OF WALKING GAITS 362 17.6.1 INVERSE
KINEMATICS 362 17.6.2 BEZIER CURVES 363 17.6.3 PATTERN FOR STRAIGHT WALK
364 17.6.4 TURNING PATTERNS 365 17.6.5 KICKING PATTERN 365 17.7
BALANCING REFLEXES 366 17.7.1 SENSOR FEEDBACK IN DETECTING A FALL 368
17.7.2 BALANCING REFLEXES 368 17.8 EVALUATION OF BALANCING REFLEXES 370
17.9 MOVING FORWARD: THE HUROCUP COMPETITION 372 17.10 DISCUSSION: FROM
TAO-PIE-PIE TO BLITZ 375 REFERENCES 376 18 DESIGN, MODELING AND CONTROL
OF AN ANKLE REHABILITATION ROBOT 377 YUN-HO TSOI, SHANE Q. XIE, ANDREW
E. GRAHAM 18.1 REHABILITATION ROBOTS 377 18.2 ANKLE REHABILITATION 378
18.3 ROBOT DESIGN 379 18.4 MODELING 383 18.5 CONTROL 386 18.5.1
IMPEDANCE CONTROL 386 18.5.2 KINEMATIC SELF CALIBRATION 389 18.5.
CONTENTS XVII 19 MARKOVITO: A FLEXIBLE AND GENERAL SERVICE ROBOT 401
HECTOR HUGO AVILES-ARRIAGA, L. ENRIQUE SUCAR, EDUARDO F. MORALES, BLANCA
A. VARGAS, JOSUE SANCHEZ, ELVA CORONA 19.1 INTRODUCTION 401 19.2
SOFTWARE ARCHITECTURE 402 19.3 MODULES 403 19.3.1 MAP BUILDING AND
LOCALIZATION 404 19.3.2 NAVIGATION 406 19.3.3 PLANNING 408 19.3.4 SPEECH
SYNTHESIS AND RECOGNITION 408 19.3.5 VISUAL PERCEPTION 409 19.4
COORDINATOR 413 19.4.1 MARKOV DECISION PROCESSES 413 19.4.2 TASK
COORDINATION BASED ON MDPS 413 19.5 IMPLEMENTATION ISSUES 414 19.5.1
HARDWARE AND SOFTWARE PLATFORMS 415 19.5.2 GENERAL STRUCTURE AND
OPERATION 415 19.6 APPLICATIONS 416 19.6.1 NAVIGATE THROUGH THREE PLACES
AND RETURN TO THE STARTING POSITION 416 19.6.2 LOST AND FOUND 417 19.6.3
FOLLOW A PERSON UNDER USER REQUEST 418 19.6.4 DELIVER MESSAGES AND
OBJECTS BETWEEN PEOPLE 418 19.7 CONCLUSIONS AND FUTURE WORK 420
REFERENCES 421 20 TASK BASED HYBRID CLOSURE GRASPING OPTIMIZATION FOR
AUTONOMOUS ROBOT HAND 425 TETSUYOU WATANABE, ZHONGWEI JIANG, TSUNEO
YOSHIKAWA 20.1 GRASPING BY A ROBOT HAND 425 20.2 TARGET SYSTEM AND
KINEMATICS 428 20.2.1 TARGET SYSTEM 428 20.2.2 NOMENCLATURE 429 20.2.3
KINEMATIC CONSTRAINTS 430 20.2.4 STATICS 431 20.2. 477 XVIII CONTENTS
20.10 REMARK FOR GRAVITATIONAL TERM OF FINGERS 446 20.11 PROOF FOR THAT
SUBPROBLEML CAN BE SOLVED BY SOLVING SUBPROBLEM2 447 REFERENCES 449 21
TRIANGULAR TARGETING ALGORITHM (TTA) FOR ACCURATE MOTION CONTROL OF FAST
MOBILE ROBOTS 453 GOURAB SEN GUPTA, CHRIS MESSOM, SERGE DEMIDENKO 21.1
INTRODUCTION 453 21.2 CLASSICAL PID CONTROL FOR ROBOT POSITIONING AND
ORIENTATION... 454 21.3 ROBOT ORIENTATION CONTROL 455 21.4 ROBOT
POSITION CONTROL 456 21.5 ADVANCED ROBOT POSITIONING ALGORITHM 458
21.5.1 PRE-PROCESSING INPUTS 458 21.5.2 RE-TARGETING SYSTEM 459 21.6
TRIANGULAR TARGETING ALGORITHM (TTA) 460 21.7 PROXIMITY POSITIONING
ALGORITHM (PPA) 464 21.8 VELOCITY PROFILING 464 21.8.1 ANGULAR VELOCITY
PROFILING 465 21.8.2 LINEAR VELOCITY PROFILING 465 21.8.3 CROSS-EFFECTS
PROFILING 466 21.9 EXPERIMENTAL RESULTS 467 21.9.1 ANGULAR MOTION
FUNCTION 468 21.9.2 LINEAR MOTION FUNCTION 468 21.9.3 CROSS EFFECTS
OPTIMIZATION 469 21.9.4 TESTING TRIANGULAR TARGETING ALGORITHM 474 21.10
DISCUSSION 474 REFERENCES 475 AUTHOR INDEX
|
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| discipline | Maschinenbau / Maschinenwesen Informatik Werkstoffwissenschaften / Fertigungstechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV035590973 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:41:09Z |
| institution | BVB |
| isbn | 9783540899327 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017646195 |
| oclc_num | 305125589 |
| open_access_boolean | |
| owner | DE-703 DE-473 DE-BY-UBG DE-11 DE-91 DE-BY-TUM |
| owner_facet | DE-703 DE-473 DE-BY-UBG DE-11 DE-91 DE-BY-TUM |
| physical | XXIII, 476 S. Ill., graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Design and control of intelligent robotic systems Dikai Liu ... (ed.) Berlin [u.a.] Springer 2009 XXIII, 476 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 177 Literaturangaben Autonomer Roboter - Bahnplanung - Soft Computing - Aufsatzsammlung Mehrrobotersystem - Schwarmintelligenz - Aufsatzsammlung Robotik - Maschinelles Lernen - Aufsatzsammlung Robotik - Soft Computing - Aufsatzsammlung Robotics Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Mehrrobotersystem (DE-588)4734038-1 gnd rswk-swf Schwarmintelligenz (DE-588)4793676-9 gnd rswk-swf Autonomer Roboter (DE-588)4304075-5 gnd rswk-swf Bahnplanung (DE-588)4267628-9 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Robotik (DE-588)4261462-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Robotik (DE-588)4261462-4 s Soft Computing (DE-588)4455833-8 s DE-604 Mehrrobotersystem (DE-588)4734038-1 s Schwarmintelligenz (DE-588)4793676-9 s Maschinelles Lernen (DE-588)4193754-5 s Autonomer Roboter (DE-588)4304075-5 s Bahnplanung (DE-588)4267628-9 s Liu, Dikai edt Studies in computational intelligence 177 (DE-604)BV020822171 177 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017646195&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Design and control of intelligent robotic systems Studies in computational intelligence Autonomer Roboter - Bahnplanung - Soft Computing - Aufsatzsammlung Mehrrobotersystem - Schwarmintelligenz - Aufsatzsammlung Robotik - Maschinelles Lernen - Aufsatzsammlung Robotik - Soft Computing - Aufsatzsammlung Robotics Maschinelles Lernen (DE-588)4193754-5 gnd Mehrrobotersystem (DE-588)4734038-1 gnd Schwarmintelligenz (DE-588)4793676-9 gnd Autonomer Roboter (DE-588)4304075-5 gnd Bahnplanung (DE-588)4267628-9 gnd Soft Computing (DE-588)4455833-8 gnd Robotik (DE-588)4261462-4 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4734038-1 (DE-588)4793676-9 (DE-588)4304075-5 (DE-588)4267628-9 (DE-588)4455833-8 (DE-588)4261462-4 (DE-588)4143413-4 |
| title | Design and control of intelligent robotic systems |
| title_auth | Design and control of intelligent robotic systems |
| title_exact_search | Design and control of intelligent robotic systems |
| title_full | Design and control of intelligent robotic systems Dikai Liu ... (ed.) |
| title_fullStr | Design and control of intelligent robotic systems Dikai Liu ... (ed.) |
| title_full_unstemmed | Design and control of intelligent robotic systems Dikai Liu ... (ed.) |
| title_short | Design and control of intelligent robotic systems |
| title_sort | design and control of intelligent robotic systems |
| topic | Autonomer Roboter - Bahnplanung - Soft Computing - Aufsatzsammlung Mehrrobotersystem - Schwarmintelligenz - Aufsatzsammlung Robotik - Maschinelles Lernen - Aufsatzsammlung Robotik - Soft Computing - Aufsatzsammlung Robotics Maschinelles Lernen (DE-588)4193754-5 gnd Mehrrobotersystem (DE-588)4734038-1 gnd Schwarmintelligenz (DE-588)4793676-9 gnd Autonomer Roboter (DE-588)4304075-5 gnd Bahnplanung (DE-588)4267628-9 gnd Soft Computing (DE-588)4455833-8 gnd Robotik (DE-588)4261462-4 gnd |
| topic_facet | Autonomer Roboter - Bahnplanung - Soft Computing - Aufsatzsammlung Mehrrobotersystem - Schwarmintelligenz - Aufsatzsammlung Robotik - Maschinelles Lernen - Aufsatzsammlung Robotik - Soft Computing - Aufsatzsammlung Robotics Maschinelles Lernen Mehrrobotersystem Schwarmintelligenz Autonomer Roboter Bahnplanung Soft Computing Robotik Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017646195&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT liudikai designandcontrolofintelligentroboticsystems |