Fair path planning for Unmanned Aerial Vehicles (UAVs) in emergency response missions
The development of autonomous systems, such as Unmanned Aerial Vehicles (UAVs), has witnessed significant growth in recent years. Their deployment in emergency response missions has become increasingly crucial due to their potential benefits, such as faster response times. However, these benefits al...
- Autores:
-
Pardo González, Germán Roberto
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/67649
- Acceso en línea:
- http://hdl.handle.net/1992/67649
- Palabra clave:
- Column Generation
Q-Learning
Reinforcement Learning
OR in emergency response
Drone Deployment
Multi-objective optimisation
Ingeniería
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nd/4.0/