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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 electronic resource (392 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato exploration missions
cooperative systems
multi-robot coordinated systems
constrained-communication environments
collaborative localization
distributed tracking
nonlinear model
unscented transformation
robust autonomous landing
unmanned aerial vehicle
unmanned ground vehicle
multi-robot systems
Kalman filter
PID controller
re-localization module
information sharing
positional uncertainty
path planning
mapping
human robot interaction
android robot
passive social conversation
multiple conversation robots
swarm
robotics
hormone
behaviour
arbitration
demand
multi-agent systems
planning
M* algorithm
shortest path finding
collision-free constraint
optimality and completeness
multi-robot
collaborative navigation
deep reinforcement learning
autonomous robots
teamwork
coordination
dynamic environments
autonomous media production
drone cinematography
multimedia tools
dialogue system
elderly people
two robots
task and motion planning
manipulation planning
robot-human interactions
perception
digital twin
virtual reality
collaborative robots
Industry 4.0
lean automation
multi-robot cell
mixed reality simulation
unmanned aerial vehicles
X-Plane flight simulator
visualized ground control station
dual-head electromagnetic propulsion device
swarm robotics
automatic design
AutoMoDe
evolutionary robotics
time-based synchronization
heterogeneous multi-robotic cell
socket communication
low computational power
native language application
swarms
drones
firefighting
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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimisation Models and Methods in Energy Systems
Optimisation Models and Methods in Energy Systems
Autore Antunes Carlos Henggeler
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (192 p.)
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 3-03921-119-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367569203321
Antunes Carlos Henggeler  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui