Alexander Cebulla — accepted AI-conference papers

2024

Beyond Feasibility: Efficiently Planning Robotic Assembly Sequences That Minimize Assembly Path Lengths

Alexander Cebulla, Tamim Asfour, Torsten Kröger

IROS 2024poster

Advancements in Industry 4.0 demand sophisticated solutions for automatic robotic assembly sequence planning (RASP), capable of handling the diversity and complexity of modern manufacturing tasks. One approach to RASP is Assembly-by-Disassembly (AbD). It first searches for a disassembly sequence tha…

Cited by 0 Source ↗Scholar ↗

2023

Speeding Up Assembly Sequence Planning Through Learning Removability Probabilities

Alexander Cebulla, Tamim Asfour, Torsten Kröger

ICRA 2023poster

Industry 4.0 facilitates a high number of product variants, posing significant challenges for modern manufacturing. One of them is the automatic creation of assembly sequences. This can be achieved with the assembly-by-disassembly (AbD) approach, which is currently highly inefficient. We aim at spee…

Cited by 6 Source ↗Scholar ↗