Ponències/Comunicacions de congressos
Recent Submissions
-
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 ... -
Fast bi-monocular visual odometry using factor graph sparsification
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessVisual navigation has become a standard in robotic applications with the emergence of robust and versatile algorithms. In particular, Visual Odometry (VO) has proven to be the most reliable navigation solution for space ... -
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 ... -
Event-IMU fusion strategies for faster-than-IMU estimation throughput
(2023)
Conference lecture
Open AccessThis study presents new methods for integrating event data and IMU readings to achieve ultra-fast camera pose estimates. The conventional predict-with-IMU-correct-with-vision approach is no longer optimal because events ... -
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 ... -
Egomotion from event-based SNN optical flow
(Association for Computing Machinery (ACM), 2023)
Conference report
Open AccessWe present a method for computing egomotion using event cameras with a pre-trained optical flow spiking neural network (SNN). To address the aperture problem encountered in the sparse and noisy normal flow of the initial ... -
Event transformer FlowNet for optical flow estimation
(2022)
Conference report
Open AccessEvent cameras are bioinspired sensors that produce asynchronous and sparse streams of events at image locations where intensity change is detected. They can detect fast motion with low latency, high dynamic range, and low ... -
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, ...
RSS 1.0