Exploració per autor "Alenyà Ribas, Guillem"
Ara es mostren els items 109-128 de 153
-
Realtime tracking and grasping of a moving object from range video
Husain, Syed Farzad; Colomé Figueras, Adrià; Dellen, Babette; Alenyà Ribas, Guillem; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés obertIn this paper we present an automated system that is able to track and grasp a moving object within the workspace of a manipulator using range images acquired with a Microsoft Kinect sensor. Realtime tracking is achieved ... -
Recovering the epipolar direction from two affine views of a planar object
Alberich Carramiñana, Maria; Alenyà Ribas, Guillem; Andrade-Cetto, Juan; Martinez, Elisa; Torras, Carme (Academic Press, 2008)
Article
Accés obertThe mainstream approach to estimate epipolar geometry from two views requires matching the projections of at least 4 non-coplanar points in the scene, assuming a full projective camera model. Our work deviates from this ... -
Recurrent neural networks for inferring intentions in shared tasks for industrial collaborative robots
Maceira Duch, Marc; Olivares Alarcos, Alberto; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertIndustrial robots are evolving to work closely with humans in shared spaces. Hence, robotic tasks are increasingly shared between humans and robots in collaborative settings. To enable a fluent human robot collaboration, ... -
Relational reinforcement learning for planning with exogenous effects
Martinez Martinez, David; Alenyà Ribas, Guillem; Ribeiro, Tony; Inoue, Katsumi; Torras, Carme (2017)
Article
Accés obertProbabilistic planners have improved recently to the point that they can solve difficult tasks with complex and expressive models. In contrast, learners cannot tackle yet the expressive models that planners do, which forces ... -
Relational reinforcement learning with guided demonstrations
Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme (2017)
Article
Accés obertModel-based reinforcement learning is a powerful paradigm for learning tasks in robotics. However, in-depth exploration is usually required and the actions have to be known in advance. Thus, we propose a novel algorithm ... -
Reward-weighted GMM and its application to action-selection in robotized shoe dressing
Colomé Figueras, Adrià; Foix Salmerón, Sergi; Alenyà Ribas, Guillem; Torras, Carme (Springer, 2017)
Text en actes de congrés
Accés obertIn the context of assistive robotics, robots need to make multiple decisions. We explore the problem where a robot has multiple choices to perform a task and must select the action that maximizes success probability among ... -
Rigid and deformable pick and place algorithms
Martí Carrillo, Felip; Alenyà Ribas, Guillem (2014)
Report de recerca
Accés obertThis technical report explains the packages used in the WAM robot to pick and place cloth or tableware objects. The goal was to check if the WAM arm robot could perform several movements to fold and unfold deformables and ... -
Robot de telepresencia: imatge i so
Serra Ortega, Joan; Alenyà Ribas, Guillem (2013)
Report de recerca
Accés obertEl robot Helena està dissenyat per ser un robot de telepresència que ha de servir per comunicar diferents persones d'un edifici sense necessitat de moure's. -
Robot egomotion from the deformation of active contours
Alenyà Ribas, Guillem; Torras, Carme (pro Literatur Verlag, 2007)
Capítol de llibre
Accés obertTraditional sources of information for image-based computer vision algorithms have been points, lines, corners, and recently SIFT features (Lowe, 2004), which seem to represent at present the state of the art in feature ... -
Robot explanatory narratives of collaborative and adaptive experiences
Olivares Alarcos, Alberto; Andriella, Antonio; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertIn the future, robots are expected to autonomously interact and/or collaborate with humans, who will increase the uncertainty during the execution of tasks, provoking online adaptations of robots' plans. Hence, trustworthy ... -
Robot interaction adaptation for healthcare assistance
Andriella, Antonio; Lobo Prat, Joan; Torras, Carme; Alenyà Ribas, Guillem (2019)
Text en actes de congrés
Accés obertAssitive robotics is one of the big players in the technological revolution we are living in. Expectations are extremely high but the reality is a bit more modest. We present here two realistic initiatives towards the ... -
Robot motion adaptation through user intervention and reinforcement learning
Jevtic, Aleksandar; Colomé Figueras, Adrià; Alenyà Ribas, Guillem; Torras, Carme (Elsevier, 2018-04-01)
Article
Accés obertAssistant robots are designed to perform specific tasks for the user, but their performance is rarely optimal, hence they are required to adapt to user preferences or new task requirements. In the previous work, the potential ... -
Robot-aided cloth classification using depth information and CNNs
Gabas Nova, Antonio; Corona Puyane, Enric; Alenyà Ribas, Guillem; Torras, Carme (2016)
Text en actes de congrés
Accés obertWe present a system to deal with the problem of classifying garments from a pile of clothes. This system uses a robot arm to extract a garment and show it to a depth camera. Using only depth images of a partial view of the ... -
Robotic leaf probing via segmentation of range data into surface patches
Alenyà Ribas, Guillem; Dellen, Babette; Foix Salmerón, Sergi; Torras, Carme (2012)
Text en actes de congrés
Accés obertWe present a novel method for the robotized probing of plant leaves using Time-of-Flight (ToF) sensors. Plant images are segmented into surface patches by combining a segmentation of the infrared intensity image, provided ... -
Robotized plant probing: leaf segmentation utilizing time-of-flight data
Alenyà Ribas, Guillem; Dellen, Babette; Foix Salmerón, Sergi; Torras, Carme (2013)
Article
Accés obertSupervision of long-lasting extensive botanic experiments is a promising robotic application that some recent technological advances have made feasible. Plant modeling for this application has strong demands, particularly ... -
Robots and IoT devices for assistive automation
Bedin, Kevin; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (2019)
Report de recerca
Accés obertIn recent years, we live every day in an ever more connected world. This phenomenon has developed the technologies of the Internet of Things (IoT). At the same time, advances in robotics now make it possible to have ... -
ROS wrapper for real-time multi-person pose estimation with a single camera
Arduengo García, Miguel; Jorgensen, Steven Jens; Hambuchen, Kimberly; Sentis, Luis; Moreno-Noguer, Francesc; Alenyà Ribas, Guillem (2017)
Report de recerca
Accés obertFor robots to be deployable in human occupied environments, the robots must have human-awareness and generate human-aware behaviors and policies. OpenPose is a library for real-time multi-person keypoint detection. We have ... -
Safe robot execution in model-based reinforcement learning
Martínez Martínez, David; Alenyà Ribas, Guillem; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertTask learning in robotics requires repeatedly executing the same actions in different states to learn the model of the task. However, in real-world domains, there are usually sequences of actions that, if executed, may ... -
Segmenting color images into surface patches by exploiting sparse depth data
Dellen, Babette; Alenyà Ribas, Guillem; Foix Salmerón, Sergi; Torras, Carme (2011)
Text en actes de congrés
Accés obertWe present a new method for segmenting color images into their composite surfaces by combining color segmentation with model-based fitting utilizing sparse depth data, acquired using time-of-flight (Swissranger, PMD CamCube) ... -
Self-supervised policy adaptation during deployment
Hansen, Nicklas; Jangir, Rishabh; Alenyà Ribas, Guillem; Abbeel, Pieter; Efros A, Alexei; Pinto, Lerrel; Wang, Xiaolong (OpenReview.net, 2021)
Text en actes de congrés
Accés obertIn most real world scenarios, a policy trained by reinforcement learning in one environment needs to be deployed in another, potentially quite different environment. However, generalization across different environments ...