Alberto Sanfeliu
Biographic Data
| ID | 5124008 |
|---|---|
| NAME | Alberto Sanfeliu |
| GIVEN NAMES | Alberto |
| FAMILY NAME | Sanfeliu |
| SIGNATURE | SANFELIU A |
| AFFILIATIONS | Institut de Robòtica i Informàtica Industrial |
| ORCID | 0000-0003-3868-9678 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The Human Intention
Despite a surge in robotics research dedicated to inferring and understanding human intent, a universally accepted definition remains elusive since existing works often equate human intention with specific task-related goals. This article seeks to address this gap by examining the multifaceted nature of intention. Drawing on insights from psychology, it attempts to consolidate a definition of intention into a comprehensible framework for a broade…
When the Inference Meets the Explicitness or Why Multimodality can Make us Forget About the Perfect Predictor
Although in the literature it is common to find predictors and inference systems that try to predict human intentions, the uncertainty of these models due to the randomness of human behaviour has led some authors to start advocating the use of communication systems that explicitly elicit human intention. In this work, it is analysed the use of four different communication systems with a human-robot collaborative object transportation task as expe…
Enhancing Robotic Collaborative Tasks Through Contextual Human Motion Prediction and Intention Inference
Predicting human motion based on a sequence of past observations is crucial for various applications in robotics and computer vision. Currently, this problem is typically addressed by training deep learning models using some of the most well-known 3D human motion datasets widely used in the community. However, these datasets generally do not consider how humans behave and move when a robot is nearby, leading to a data distribution different from …
Perception–Intention–Action Cycle in Human–Robot Collaborative Tasks
This study proposes to improve the reliability, robustness and human-like nature of Human–Robot Collaboration (HRC). For that, the classical Perception–Action cycle is extended to a Perception–Intention–Action (PIA) cycle, which includes an Intention stage at the same level as the Perception one, being in charge of obtaining both the implicit and the explicit intention of the human, opposing to classical approaches based on inferring everything f…
Adaptive Social Planner to Accompany People in Real-Life Dynamic Environments
Shared Task Representation for Human–Robot Collaborative Navigation
Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on implicit collaboration settings, on hypothetical or simulated task allocation problems, on shared autonomy or on having the human as a manager. This work takes a step forward by presenting an end-to-end system capable of handling r…
Adaptive Side-by-Side Social Robot Navigation to Approach and Interact with People
Teaching Robot’s Proactive Behavior Using Human Assistance
Teaching Robot’s Proactive Behavior Using Human Assistance
Adaptive Side-by-Side Social Robot Navigation to Approach and Interact with People
Shared Task Representation for Human–Robot Collaborative Navigation
Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on implicit collaboration settings, on hypothetical or simulated task allocation problems, on shared autonomy or on having the human as a manager. This work takes a step forward by presenting an end-to-end system capable of handling r…
Adaptive Social Planner to Accompany People in Real-Life Dynamic Environments
The Human Intention
Despite a surge in robotics research dedicated to inferring and understanding human intent, a universally accepted definition remains elusive since existing works often equate human intention with specific task-related goals. This article seeks to address this gap by examining the multifaceted nature of intention. Drawing on insights from psychology, it attempts to consolidate a definition of intention into a comprehensible framework for a broade…
When the Inference Meets the Explicitness or Why Multimodality can Make us Forget About the Perfect Predictor
Although in the literature it is common to find predictors and inference systems that try to predict human intentions, the uncertainty of these models due to the randomness of human behaviour has led some authors to start advocating the use of communication systems that explicitly elicit human intention. In this work, it is analysed the use of four different communication systems with a human-robot collaborative object transportation task as expe…
Enhancing Robotic Collaborative Tasks Through Contextual Human Motion Prediction and Intention Inference
Predicting human motion based on a sequence of past observations is crucial for various applications in robotics and computer vision. Currently, this problem is typically addressed by training deep learning models using some of the most well-known 3D human motion datasets widely used in the community. However, these datasets generally do not consider how humans behave and move when a robot is nearby, leading to a data distribution different from …
Perception–Intention–Action Cycle in Human–Robot Collaborative Tasks
This study proposes to improve the reliability, robustness and human-like nature of Human–Robot Collaboration (HRC). For that, the classical Perception–Action cycle is extended to a Perception–Intention–Action (PIA) cycle, which includes an Intention stage at the same level as the Perception one, being in charge of obtaining both the implicit and the explicit intention of the human, opposing to classical approaches based on inferring everything f…
Social Robot Interaction and HRI (7 works) · Artificial Intelligence (6 works) · Computer Science (6 works) · Human–computer interaction (6 works) · Human–robot interaction (6 works) · Robot (6 works) · Engineering (5 works) · Robotics (5 works) · Mobile robot (3 works) · Robot control (3 works)