Pedro Miguel Uriguen Eljuri — accepted AI-conference papers

2025

Haptic-Informed ACT with a Soft Gripper and Recovery-Informed Training for Pseudo Oocyte Manipulation

Pedro Miguel Uriguen Eljuri, Hironobu Shibata, Katsuyoshi Maeyama, Yuanyuan Jia, Tadahiro Taniguchi

IROS 2025

In this paper, we introduce Haptic-Informed ACT, an advanced robotic system for pseudo oocyte manipulation, integrating multimodal information and Action Chunking with Transformers (ACT). Traditional automation methods for oocyte transfer rely heavily on visual perception, often requiring human supe

Cited by 0 Source ↗Scholar ↗

2023

A Bayesian Reinforcement Learning Method for Periodic Robotic Control Under Significant Uncertainty

Yuanyuan Jia, Pedro Miguel Uriguen Eljuri, Tadahiro Taniguchi

IROS 2023poster

This paper addresses the lack of research on periodic reinforcement learning for physical robot control by presenting a 3-phase periodic Bayesian reinforcement learning method for uncertain environments. Drawing on cognition theory, the proposed approach achieves effective convergence with fewer tra…

Cited by 1 Source ↗Scholar ↗