6 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
Grasping Force Estimation for Markerless Visuotactile Sensors
Julio Castaño-Amoros, Pablo Gil
Tactile sensors have been used for force estimation in the past, especially Vision-Based Tactile Sensors (VBTS) have recently become a new trend due to their high spatial resolutio…
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…
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…
Measuring Object Rotation via Visuo-Tactile Segmentation
Julio Castaño, Pablo Gil
When carrying out robotic manipulation tasks, objects occasionally fall as a result of the rotation caused by slippage. This can be prevented by obtaining tactile information that…