Angel P. del Pobil — accepted AI-conference papers

2019

Non-Destructive Robotic Assessment of Mango Ripeness via Multi-Point Soft Haptics

Luca Scimeca, Perla Maiolino, Daniel Cardin-Catalan, Angel P. del Pobil, Antonio Morales, Fumiya Iida

ICRA 2019poster

To match the ever increasing standards of fresh products, and the need to reduce waste, we devise an alternative to the destructive and highly variable fruit ripeness estimation by a penetrometer. We propose a fully automatic method to assess the ripeness of mango which is non-destructive, allows th…

Cited by 46 Source ↗Scholar ↗

2016

Initial weight estimation for learning the internal model based on the knowledge of the robot morphology

Angel J. Duran, Angel P. del Pobil

IROS 2016poster

The information used to determine the internal model of a robot system emerges from individual interactions with the environment. Knowledge about a specific internal model can be acquired by means of model learning techniques based on supervised machine learning tools, such as neural networks. One o…

Cited by 0 Source ↗Scholar ↗

2015

Adaptive saccade controller inspired by the primates' cerebellum

Marco Antonelli, Angel J. Duran, Eris Chinellato, Angel P. del Pobil

ICRA 2015poster

Saccades are fast eye movements that allow humans and robots to bring the visual target in the center of the visual field. Saccades are open loop with respect to the vision system, thus their execution require a precise knowledge of the internal model of the oculomotor system. In this work, we model…

Cited by 16 Source ↗Scholar ↗