Integrating convolutional neural networks and reinforcement learning for autonomous person-following in social robotics
The integration of advanced robotics with sophisticated machine learning techniques offers substantial opportunities to enhance the autonomous capabilities of social robots. This paper presents a novel approach that enables a Pepper-type social robot to autonomously follow a person. Our methodology...
- Autores:
-
Ortiz Almanza, David Santiago
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/74468
- Acceso en línea:
- https://hdl.handle.net/1992/74468
- Palabra clave:
- Person following
Convolutional neural networks
Reinforcement learning
Social robotics
Pepper robot
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial 4.0 International