- Robot Manipulation and Learning
- Social Robot Interaction and HRI
- Human-Automation Interaction and Safety
- Transportation and Mobility Innovations
- Optical measurement and interference techniques
- Robotic Path Planning Algorithms
- Topic Modeling
- Natural Language Processing Techniques
- Adaptive optics and wavefront sensing
- Advanced Manufacturing and Logistics Optimization
- Advanced optical system design
- Machine Learning in Healthcare
Universitat Politècnica de Catalunya
2022-2024
Institut de Robòtica i Informàtica Industrial
2023-2024
Instituto de Astrofísica de Canarias
2024
Chilean Air Force
2023
Consejo Superior de Investigaciones Científicas
2022
Abstract This study proposes to improve the reliability, robustness and human-like nature of Human–Robot Collaboration (HRC). For that, classical Perception–Action cycle is extended a Perception–Intention–Action (PIA) cycle, which includes an Intention stage at same level as Perception one, being in charge obtaining both implicit explicit intention human, opposing approaches based on inferring everything from perception. complete exposed theoretically including its use concept Situation...
In Human-Robot Collaboration (HRC) tasks, the classical Perception-Action cycle can not fully explain collaborative behaviour of human-robot pair until it is extended to Perception-Intention-Action (PIA) cycle, giving human's intention a key role at same level robot's perception and as subblock this. Although part be perceived or inferred by other agent, this prone misunderstandings so true has explicitly informed in some cases fulfill task. Here, we explore both types combine them with...
We present a new social robot named IVO, capable of collaborating with humans and solving different tasks. The is intended to cooperate work in useful socially acceptable manner serve as research platform for long-term Social Human-Robot Interaction. In this paper, we proceed describe platform, its communication skills the current capabilities possesses, such as, handing over an object or from person performing guiding tasks human through physical contact. abilities IVO robot, furthermore,...
The field of clinical natural language processing (NLP) can extract useful information from text. Since 2017, the NLP has shifted towards using pre-trained models (PLMs), improving performance in several tasks. Most research this focused on English text, but there are some available PLMs Spanish. In work, we use to analyze text admission and medical reports Spanish for an insurance health provider give a probability no coverage labor process. Our results show that fine-tuning PLM with...