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Autonomous mobile robots and multi-robot systems : motion-planning, communication and swarming / / edited by Eugene Kagan, Nir Shvalb, Irad Ben-Gal
| Autonomous mobile robots and multi-robot systems : motion-planning, communication and swarming / / edited by Eugene Kagan, Nir Shvalb, Irad Ben-Gal |
| Autore | Kagan Eugene |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (343 pages) |
| Disciplina | 629.8932 |
| Soggetto topico | Mobile robots - Automatic control |
| ISBN |
1-119-21316-9
1-5231-3281-7 1-119-21317-7 1-119-21315-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Motion-planning schemes in global coordinates -- Basic perception -- Motion in the global coordinates -- Motion in potential field and navigation function -- GNSS and robot localization -- Motion in local coordinates -- Motion in unknown environment -- Energy limitations and energetic efficiency of mobile robots -- Multi-robot systems and swarming -- Collective motion with shared environment map -- Collective motion with direct and indirect communication -- Brownian motion and swarm dynamics -- Conclusions. |
| Record Nr. | UNINA-9910555038003321 |
Kagan Eugene
|
||
| Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Autonomous mobile robots and multi-robot systems : motion-planning, communication and swarming / / edited by Eugene Kagan, Nir Shvalb, Irad Ben-Gal
| Autonomous mobile robots and multi-robot systems : motion-planning, communication and swarming / / edited by Eugene Kagan, Nir Shvalb, Irad Ben-Gal |
| Autore | Kagan Eugene |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (343 pages) |
| Disciplina | 629.8932 |
| Soggetto topico | Mobile robots - Automatic control |
| ISBN |
1-119-21316-9
1-5231-3281-7 1-119-21317-7 1-119-21315-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Motion-planning schemes in global coordinates -- Basic perception -- Motion in the global coordinates -- Motion in potential field and navigation function -- GNSS and robot localization -- Motion in local coordinates -- Motion in unknown environment -- Energy limitations and energetic efficiency of mobile robots -- Multi-robot systems and swarming -- Collective motion with shared environment map -- Collective motion with direct and indirect communication -- Brownian motion and swarm dynamics -- Conclusions. |
| Record Nr. | UNINA-9910813585903321 |
|
Kagan Eugene
|
||
| Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probabilistic search for tracking targets : theory and modern application / / Eugene Kagan, Irad Ben-Gal
| Probabilistic search for tracking targets : theory and modern application / / Eugene Kagan, Irad Ben-Gal |
| Autore | Kagan Eugene |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2013 |
| Descrizione fisica | 1 online resource (348 p.) |
| Disciplina |
658.5/3
670.285 |
| Altri autori (Persone) | Ben-GalIrad |
| Soggetto topico |
Search theory
Target acquisition - Mathematics Motion - Mathematical models |
| ISBN |
1-118-59659-5
1-118-59704-4 1-299-44937-9 1-118-59710-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; List of figures; Preface; Notation and terms; Chapter 1 Introduction; 1.1 Motivation and applications; 1.2 General description of the search problem; 1.3 Solution approaches in the literature; 1.4 Methods of local search; 1.5 Objectives and structure of the book; References; Chapter 2 Problem of search for static and moving targets; 2.1 Methods of search and screening; 2.1.1 General definitions and notation; 2.1.2 Target location density for a Markovian search; 2.1.3 The search-planning problem; 2.2 Group-testing search
2.2.1 General definitions and notation2.2.2 Combinatorial group-testing search for static targets; 2.2.3 Search with unknown number of targets and erroneous observations; 2.2.4 Basic information theory search with known location probabilities; 2.3 Path planning and search over graphs; 2.3.1 General BF* and A* algorithms; 2.3.2 Real-time search and learning real-time A* algorithm; 2.3.3 Moving target search and the fringe-retrieving A* algorithm; 2.4 Summary; References; Chapter 3 Models of search and decision making; 3.1 Model of search based on MDP; 3.1.1 General definitions 3.1.2 Search with probabilistic and informational decision rules3.2 Partially observable MDP model and dynamic programming approach; 3.2.1 MDP with uncertain observations; 3.2.2 Simple Pollock model of search; 3.2.3 Ross model with single-point observations; 3.3 Models of moving target search with constrained paths; 3.3.1 Eagle model with finite and infinite horizons; 3.3.2 Branch-and-bound procedure of constrained search with single searcher; 3.3.3 Constrained path search with multiple searchers; 3.4 Game theory models of search; 3.4.1 Game theory model of search and screening 3.4.2 Probabilistic pursuit-evasion games3.4.3 Pursuit-evasion games on graphs; 3.5 Summary; References; Chapter 4 Methods of information theory search; 4.1 Entropy and informational distances between partitions; 4.2 Static target search: Informational LRTA* algorithm; 4.2.1 Informational LRTA* algorithm and its properties; 4.2.2 Group-testing search using the ILRTA* algorithm; 4.2.3 Search by the ILRTA* algorithm with multiple searchers; 4.3 Moving target search: Informational moving target search algorithm; 4.3.1 The informational MTS algorithm and its properties 4.3.2 Simple search using the IMTS algorithm4.3.3 Dependence of the IMTS algorithm's actions on the target's movement; 4.4 Remarks on programming of the ILRTA* and IMTS algorithms; 4.4.1 Data structures; 4.4.2 Operations and algorithms; 4.5 Summary; References; Chapter 5 Applications and perspectives; 5.1 Creating classification trees by using the recursive ILRTA* algorithm; 5.1.1 Recursive ILRTA* algorithm; 5.1.2 Recursive ILRTA* with weighted distances and simulation results; 5.2 Informational search and screening algorithm with single and multiple searchers 5.2.1 Definitions and assumptions |
| Record Nr. | UNINA-9910139034303321 |
|
Kagan Eugene
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probabilistic search for tracking targets : theory and modern application / / Eugene Kagan, Irad Ben-Gal
| Probabilistic search for tracking targets : theory and modern application / / Eugene Kagan, Irad Ben-Gal |
| Autore | Kagan Eugene |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2013 |
| Descrizione fisica | 1 online resource (348 p.) |
| Disciplina |
658.5/3
670.285 |
| Altri autori (Persone) | Ben-GalIrad |
| Soggetto topico |
Search theory
Target acquisition - Mathematics Motion - Mathematical models |
| ISBN |
1-118-59659-5
1-118-59704-4 1-299-44937-9 1-118-59710-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; List of figures; Preface; Notation and terms; Chapter 1 Introduction; 1.1 Motivation and applications; 1.2 General description of the search problem; 1.3 Solution approaches in the literature; 1.4 Methods of local search; 1.5 Objectives and structure of the book; References; Chapter 2 Problem of search for static and moving targets; 2.1 Methods of search and screening; 2.1.1 General definitions and notation; 2.1.2 Target location density for a Markovian search; 2.1.3 The search-planning problem; 2.2 Group-testing search
2.2.1 General definitions and notation2.2.2 Combinatorial group-testing search for static targets; 2.2.3 Search with unknown number of targets and erroneous observations; 2.2.4 Basic information theory search with known location probabilities; 2.3 Path planning and search over graphs; 2.3.1 General BF* and A* algorithms; 2.3.2 Real-time search and learning real-time A* algorithm; 2.3.3 Moving target search and the fringe-retrieving A* algorithm; 2.4 Summary; References; Chapter 3 Models of search and decision making; 3.1 Model of search based on MDP; 3.1.1 General definitions 3.1.2 Search with probabilistic and informational decision rules3.2 Partially observable MDP model and dynamic programming approach; 3.2.1 MDP with uncertain observations; 3.2.2 Simple Pollock model of search; 3.2.3 Ross model with single-point observations; 3.3 Models of moving target search with constrained paths; 3.3.1 Eagle model with finite and infinite horizons; 3.3.2 Branch-and-bound procedure of constrained search with single searcher; 3.3.3 Constrained path search with multiple searchers; 3.4 Game theory models of search; 3.4.1 Game theory model of search and screening 3.4.2 Probabilistic pursuit-evasion games3.4.3 Pursuit-evasion games on graphs; 3.5 Summary; References; Chapter 4 Methods of information theory search; 4.1 Entropy and informational distances between partitions; 4.2 Static target search: Informational LRTA* algorithm; 4.2.1 Informational LRTA* algorithm and its properties; 4.2.2 Group-testing search using the ILRTA* algorithm; 4.2.3 Search by the ILRTA* algorithm with multiple searchers; 4.3 Moving target search: Informational moving target search algorithm; 4.3.1 The informational MTS algorithm and its properties 4.3.2 Simple search using the IMTS algorithm4.3.3 Dependence of the IMTS algorithm's actions on the target's movement; 4.4 Remarks on programming of the ILRTA* and IMTS algorithms; 4.4.1 Data structures; 4.4.2 Operations and algorithms; 4.5 Summary; References; Chapter 5 Applications and perspectives; 5.1 Creating classification trees by using the recursive ILRTA* algorithm; 5.1.1 Recursive ILRTA* algorithm; 5.1.2 Recursive ILRTA* with weighted distances and simulation results; 5.2 Informational search and screening algorithm with single and multiple searchers 5.2.1 Definitions and assumptions |
| Record Nr. | UNINA-9910813432503321 |
|
Kagan Eugene
|
||
| Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||