Marcos Maroto‐Gómez
Biographic Data
| ID | 5132352 |
|---|---|
| NAME | Marcos Maroto‐Gómez |
| GIVEN NAMES | Marcos |
| FAMILY NAME | Maroto‐Gómez |
| SIGNATURE | GÓMEZ M M |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0001-9576-1731 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Learning to Act with Rainbow! Deep Reinforcement Learning for Biologically Inspired Autonomous Robots
Evaluating the effect of co-speech gesture prediction on Human–Robot Interaction
Robots are starting to be used in tasks involving human–robot interactions. For them to be efficient in these tasks, they must be seen as suitable interaction partners. One method to achieve this is to enable them to use proper verbal and non-verbal communication. Selecting non-verbal behaviours that appropriately complement the robot’s verbal messages is complex and requires roboticists to understand how each dimension of communication, as well …
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 …
Emotion and Mood Blending in Embodied Artificial Agents
Robots that are devised for assisting and interacting with humans are becoming fundamental in many applications, including in healthcare, education, and entertainment. For these robots, the capacity to exhibit affective states plays a crucial role in creating emotional bonding with the user. In this work, we present an affective architecture that grounds biological foundations to shape the affective state of the Mini social robot in terms of mood…
Mini
Mini
Emotion and Mood Blending in Embodied Artificial Agents
Robots that are devised for assisting and interacting with humans are becoming fundamental in many applications, including in healthcare, education, and entertainment. For these robots, the capacity to exhibit affective states plays a crucial role in creating emotional bonding with the user. In this work, we present an affective architecture that grounds biological foundations to shape the affective state of the Mini social robot in terms of mood…
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…
Learning to Act with Rainbow! Deep Reinforcement Learning for Biologically Inspired Autonomous Robots
Evaluating the effect of co-speech gesture prediction on Human–Robot Interaction
Robots are starting to be used in tasks involving human–robot interactions. For them to be efficient in these tasks, they must be seen as suitable interaction partners. One method to achieve this is to enable them to use proper verbal and non-verbal communication. Selecting non-verbal behaviours that appropriately complement the robot’s verbal messages is complex and requires roboticists to understand how each dimension of communication, as well …
Robot (6 works) · Social Robot Interaction and HRI (6 works) · Artificial Intelligence (4 works) · Computer Science (4 works) · Robotics (4 works) · Human–computer interaction (3 works) · Social robot (3 works) · Action Observation and Synchronization (2 works) · AI in Service Interactions (2 works) · Context-Aware Activity Recognition Systems (2 works)