activity
20222025
most citedDetection and depth estimation for domestic waste in outdoor environments by sensors fusion

13 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Transferability of labels between multilens cameras

Ignacio de Loyola Páez-Ubieta, Daniel Frau-Alfaro, Santiago T. Puente

In this work, a new method for automatically extending Bounding Box (BB) and mask labels across different channels on multilens cameras is presented. For that purpose, the proposed…

cs.RO2024

QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity

Johann Huber, François Hélénon, Mathilde Kappel +5

Recent advances in AI have led to significant results in robotic learning, but skills like grasping remain partially solved. Many recent works exploit synthetic grasping datasets t…

cs.RO2024★ 6 cited

Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments

Ignacio de Loyola Páez-Ubieta, Julio Castaño-Amorós, Santiago T. Puente +1

The accumulation of litter is increasing in many places and is consequently becoming a problem that must be dealt with. In this paper, we present a manipulator robotic system to co…

cs.RO2024★ 4 cited

Visual-tactile manipulation to collect household waste in outdoor

Julio Castaño-Amorós, Ignacio de Loyola Páez-Ubieta, Pablo Gil +1

This work presents a perception system applied to robotic manipulation, that is able to assist in navigation, household waste classification and collection in outdoor environments.…

cs.RO2022★ 13 cited

Detection and depth estimation for domestic waste in outdoor environments by sensors fusion

Ignacio de L. Páez-Ubieta, Edison Velasco-Sánchez, Santiago T. Puente +1

In this work, we estimate the depth in which domestic waste are located in space from a mobile robot in outdoor scenarios. As we are doing this calculus on a broad range of space (…