José Carlos Castillo
Dados Biográficos
| ID | 4806283 |
|---|---|
| NOME | José Carlos Castillo |
| PRENOMES | José Carlos |
| SOBRENOME | Castillo |
| ASSINATURA | CASTILLO J C |
| AFILIAÇÕES | Universidad Carlos III de Madrid |
| ORCID | 0000-0003-0454-9466 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 7 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1989 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Personalizing Activity Selection in Assistive Social Robots from Explicit and Implicit User Feedback
Robots in multi-user environments require adaptation to produce personalized interactions. In these scenarios, the user’s feedback leads the robots to learn from experiences and use this knowledge to generate adapted activities to the user’s preferences. However, preferences are user-specific and may suffer variations, so learning is required to personalize the robot’s actions to each user. Robots can obtain feedback in Human–Robot Interaction by…
A Systematic Literature Review of Decision-Making and Control Systems for Autonomous and Social Robots
In the last years, considerable research has been carried out to develop robots that can improve our quality of life during tedious and challenging tasks. In these contexts, robots operating without human supervision open many possibilities to assist people in their daily activities. When autonomous robots collaborate with humans, social skills are necessary for adequate communication and cooperation. Considering these facts, endowing autonomous …
Mini
Analyzing the Impact of Different Feature Queries in Active Learning for Social Robots
Retorno al Sur
Retorno al Sur
Analyzing the Impact of Different Feature Queries in Active Learning for Social Robots
Mini
A Systematic Literature Review of Decision-Making and Control Systems for Autonomous and Social Robots
In the last years, considerable research has been carried out to develop robots that can improve our quality of life during tedious and challenging tasks. In these contexts, robots operating without human supervision open many possibilities to assist people in their daily activities. When autonomous robots collaborate with humans, social skills are necessary for adequate communication and cooperation. Considering these facts, endowing autonomous …
Personalizing Activity Selection in Assistive Social Robots from Explicit and Implicit User Feedback
Robots in multi-user environments require adaptation to produce personalized interactions. In these scenarios, the user’s feedback leads the robots to learn from experiences and use this knowledge to generate adapted activities to the user’s preferences. However, preferences are user-specific and may suffer variations, so learning is required to personalize the robot’s actions to each user. Robots can obtain feedback in Human–Robot Interaction by…
Artificial Intelligence (4 obras) · Computer Science (4 obras) · Human–computer interaction (4 obras) · Robot (4 obras) · Robotics (4 obras) · Social Robot Interaction and HRI (3 obras) · AI in Service Interactions (2 obras) · Context-Aware Activity Recognition Systems (2 obras) · Machine learning (2 obras) · Mobile robot (2 obras)