Ismael Rodríguez — accepted AI-conference papers

2024

Feasibility Checking and Constraint Refinement for Shared Control in Assistive Robotics

Samuel Bustamante-Gomez, Ismael Rodríguez, Gabriel Quere, Peter Lehner, Maged Iskandar, Daniel Leidner +4

RA-L 2024

Shared control enables users with motor impairments to control high-dimensional assistive robots with low-dimensional user interfaces. The challenge is to simultaneously 1) provide support for completing daily living tasks 2) enable sufficient freedom of movement to foster user empowerment 3) ensure

Cited by 4 Source ↗Scholar ↗

2023

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning

Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel

IROS 2023poster

Automatic Robotic Assembly Sequence Planning (RASP) can significantly improve productivity and resilience in modern manufacturing along with the growing need for greater product customization. One of the main challenges in realizing such automation resides in efficiently finding solutions from a gro…

Cited by 12 Source ↗code ↗Scholar ↗

2020

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning

Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer

RA-L 2020

The autonomous assembly of customized products is highly demanded in future manufacturing scenarios. This requires robotic systems being able to adapt to individual products without increasing overall production time. However, increasingly complex assemblies lead to a growing number of potential ass

Cited by 34 Source ↗Scholar ↗

2019

Iteratively Refined Feasibility Checks in Robotic Assembly Sequence Planning

Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Michael Kaßecker, Freek Stulp, Alin Albu-Schäffer

RA-L 2019

Due to shorter product life cycles and increasing customization, production lines must be able to quickly adapt to novel product variants. This requires the automatic generation of assembly sequence plans from product specifications, as manual engineering of plans is slow and labor intensive. The ma

Cited by 54 Source ↗Scholar ↗