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Recent Submissions
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Exploring transformers and visual transformers for force prediction in human-robot collaborative transportation tasks
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Restricted access - publisher's policyIn this paper, we analyze the possibilities offered by Deep Learning State-of-the-Art architectures such as Transformers and Visual Transformers in generating a prediction of the human’s force in a Human-Robot collaborative ... -
Human motion trajectory prediction using the social force model for real-time and low computational cost applications
(Springer, 2023)
Conference report
Restricted access - publisher's policyHuman motion trajectory prediction is a very important functionality for human-robot collaboration, specifically in accompanying, guiding, or approaching tasks, but also in social robotics, self-driving vehicles, or ... -
Context attention: human motion prediction using context information and deep learning attention models
(Springer, 2022)
Conference lecture
Open AccessThis work proposes a human motion prediction model for handover operations. The model uses a multi-headed attention architecture to process the human skeleton data together with contextual data from the operation. This ... -
The LogiSmile project: piloting autonomous vehicles for lastmile logistics in European cities
(2023)
Conference report
Restricted access - publisher's policyThe use of autonomous technologies for last-mile logistics has the potential to reduce operation costs, cut emissions from the delivery sector, improve safety levels in communities, and provide efficient delivery solutions ... -
Improving human-robot interaction effectiveness in human-robot collaborative object transportation using force prediction
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Restricted access - publisher's policyIn this work, we analyse the use of a prediction of the human’s force in a Human-Robot collaborative object transportation task at a middle distance. We check that this force prediction can improve multiple parameters ... -
Real-life experiment metrics for evaluating human-robot collaborative navigation tasks
(2023)
Conference report
Restricted access - publisher's policyAs robots move from laboratories and industries to the real world, they must develop new abilities to collaborate with humans in various aspects, including human-robot collaborative navigation (HRCN) tasks. Then, it is ... -
Inference vs. explicitness. Do we really need the perfect predictor? The human-robot collaborative object transportation case
(2023)
Conference report
Restricted access - publisher's policyWhen robots interact with humans, limitations in their internal models arise due to the uncertainty and even randomness of human behavior. This has led to attempts to predict human future actions and infer their intent. ... -
Body gesture recognition to control a social mobile robot
(2023)
Conference report
Restricted access - publisher's policyIn this work, we propose a gesture-based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a new dataset of humans ... -
Human acceptance in the Human-Robot Interaction scenario for last-mile goods delivery
(2023)
Conference report
Open AccessThe introduction of robotic technology in an existing scenario must be analyzed from the point of view of all the human roles involved in that scenario. In the case of dealing with urban public space, the analysis must ... -
Perception-intention-action cycle as a human acceptable way for improving human-robot collaborative tasks
(Association for Computing Machinery (ACM), 2023)
Conference report
Open AccessIn Human-Robot Collaboration (HRC) tasks, the classical Perception-Action cycle can not fully explain the collaborative behaviour of the human-robot pair until it is extended to Perception-Intention-Action (PIA) cycle, ... -
Single-view 3d body and cloth reconstruction under complex poses
(Scitepress, 2022)
Conference report
Open AccessRecent advances in 3D human shape reconstruction from single images have shown impressive results, leveraging on deep networks that model the so-called implicit function to learn the occupancy status of arbitrarily dense ... -
Classification of humans social relations within urban areas
(Springer, 2022)
Conference report
Open AccessThis paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formation into four possible categories --colleagues, ...
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