3 papers
cs.AI2026
Probing an Embodied LLM: When Higher Observation Fidelity Hurts Problem Solving
Oussama Zenkri, Oliver Brock
Large Language Models (LLMs) are increasingly proposed as cognitive components for robotic systems, yet their opaque decision processes make it difficult to explain success or fail…
cs.RO2024
A Biologically Inspired Design Principle for Building Robust Robotic Systems
Xing Li, Oussama Zenkri, Adrian Pfisterer +1
Robustness, the ability of a system to maintain performance under significant and unanticipated environmental changes, is a critical property for robotic systems. While biological…
cs.RO2022
Hierarchical Policy Learning for Mechanical Search
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Retrieving objects from clutters is a complex task, which requires multiple interactions with the environment until the target object can be extracted. These interactions involve e…