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Multi-Robot Systems: Challenges, Trends and Applications
| Multi-Robot Systems: Challenges, Trends and Applications |
| Autore | Roldán Gómez Juan Jesús |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (392 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
android robot
arbitration automatic design AutoMoDe autonomous media production autonomous robots behaviour collaborative localization collaborative navigation collaborative robots collision-free constraint constrained-communication environments cooperative systems coordination deep reinforcement learning demand dialogue system digital twin distributed tracking drone cinematography drones dual-head electromagnetic propulsion device dynamic environments elderly people evolutionary robotics exploration missions firefighting heterogeneous multi-robotic cell hormone human robot interaction Industry 4.0 information sharing Kalman filter lean automation low computational power M* algorithm manipulation planning mapping mixed reality simulation multi-agent systems multi-robot multi-robot cell multi-robot coordinated systems multi-robot systems multimedia tools multiple conversation robots n/a native language application nonlinear model optimality and completeness passive social conversation path planning perception PID controller planning positional uncertainty re-localization module robot-human interactions robotics robust autonomous landing shortest path finding socket communication swarm swarm robotics swarms task and motion planning teamwork time-based synchronization two robots unmanned aerial vehicle unmanned aerial vehicles unmanned ground vehicle unscented transformation virtual reality visualized ground control station X-Plane flight simulator |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Multi-Robot Systems |
| Record Nr. | UNINA-9910674397903321 |
Roldán Gómez Juan Jesús
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimisation Models and Methods in Energy Systems / Carlos Henggeler Antunes
| Optimisation Models and Methods in Energy Systems / Carlos Henggeler Antunes |
| Autore | Antunes Carlos Henggeler |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (192 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
mixed integer linear programming
fuzzy set theory stochastic programming mixed integer linear programing variable renewable power generation efficiency optimization flexibility option portfolio analysis firefighting semi-mean-absolute deviation model component outage energy network predicted mean vote (PMV) generation expansion planning building microgrid demand side management stochastic robust optimization oil storage plants long-term forecasting multi-criteria decision making (MCDM) life cycle cost graph theory scenario-based multistage stochastic programming optimal power generation mix heating ventilation and air-conditioning (HVAC) intermittent sources electric-power structure adjustment technique for the order of preference by similarity to the ideal solution (TOPSIS) integrated energy system Markov chain Monte Carlo nondominated sorting genetic algorithm (NSGA) domino effect energy system management model electrical distribution systems microgrid operation influence diagram net demand wind power forecasting energy conservation and emissions reduction feasible operation region meshed topology occupancy-based control islanded microgrids combined heat and power multi-objective optimization re-optimization and rescheduling |
| ISBN |
9783039211197
3039211196 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367569203321 |
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Antunes Carlos Henggeler
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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