Papers
9
Total Citations
109
H-Index
4
About
Bastian Wibranek is a researcher working at the intersection of robotics, artificial intelligence, and the built environment, with a particular focus on human-robot collaboration in construction and architectural assembly. His work spans robotic fabrication, federated learning, and the cognitive and physical dimensions of collaborative workflows between humans and robots on construction sites. Wibranek's most cited contribution, "Robotic architectural assembly with tactile skills: Simulation and optimization" (2021, 53 citations), demonstrates his early interest in advancing robotic dexterity for architectural tasks. He has since expanded into human-centered robotics, exploring how collaborative robots can relieve construction workers from physically demanding labor while preserving worker agency and safety. His 2024 study on collaborative wood assembly (16 citations) provides experimental evidence of how such systems affect both performance and worker perception—critical questions for real-world adoption. Notably, Wibranek has also pioneered privacy-preserving approaches to human intention prediction, with his FedHIP framework (25 citations) applying federated learning to sensitive workplace data. His broader research agenda questions how buildings themselves might become more adaptive and reconfigurable through modular, robotically assembled systems. Together, his work positions him as an emerging voice in intelligent, human-aware construction automation.
Research Focus
Key Achievements
Top Papers
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- 5Human Decisions for Robot Integration3 citations · 2020
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- 7Interfacing architecture and artificial intelligence2 citations · 2021
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