Papers
12
Total Citations
68
H-Index
4
About
Robert Porzel is a leading researcher at the intersection of robotics, artificial intelligence, and cognitive science, with a primary focus on enabling autonomous agents to understand and execute everyday human activities. His major contributions center on developing formal models that bridge the gap between physical action and social context. Porzel’s foundational work on the Socio-Physical Model of Activities (SOMA) provides a groundbreaking framework for representing both the physical and social dimensions of tasks that humans find trivial but robots struggle to perform. His most-cited paper, "A Formal Model of Affordances for Flexible Robotic Task Execution" (24 citations), introduces a novel approach to action selection in uncertain environments, moving beyond rigid planning algorithms. Porzel has also pioneered methods for translating textual instructions into robotic and animated movements, as demonstrated in his work on text-to-animation systems for physical exercises. Notably, he leads efforts to create large-scale multimodal datasets, such as the Biosignal Acquisition Space and Environment (BASE), which records synchronized biosignals from humans performing everyday activities. Through his integration of heterogeneous ontologies for natural language generation and human-robot interaction, Porzel is advancing the frontier of socially aware, flexible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Formal Model of Affordances for Flexible Robotic Task Execution24 citations · 2020
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- 3Dynamic Action Selection Using Image Schema-based Reasoning for Robots5 citations · 2021
- 4A Text to Animation System for Physical Exercises5 citations · 2018
- 5Synchronized Multimodal Recording of a Table Setting Dataset4 citations · 2018
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- 9A Step Toward Automated Simulation in Industry2 citations · 2016
- 10