Budapest University of Technology and Economics

🇭🇺 HU

Papers

393

Total Citations

6,181

H-Index

34

Researchers

317

About

The Budapest University of Technology and Economics (BME) stands as one of Central Europe's most distinguished technical institutions, cultivating a remarkably diverse and impactful research agenda at the intersection of robotics, artificial intelligence, and human-machine interaction. With deep expertise spanning adaptive control theory, telerobotics, social robotics, and cyber-physical production systems, BME has established itself as a globally recognized center for innovation in intelligent systems and automation. BME's contributions to human-robot collaboration have been particularly transformative. The institution's pioneering work on symbiotic human-robot collaborative assembly — now cited over 540 times — has fundamentally shaped how industry conceptualizes safe, productive coexistence between humans and robotic systems in manufacturing environments. This research, complemented by frameworks for cyber-physical production systems, has directly influenced modern Industry 4.0 implementations worldwide. In parallel, BME researchers have made lasting contributions to robotic telesurgery and remote teleoperation, addressing the critical challenges of latency, force sensing, and cascade control in space medicine and long-distance surgical applications. The institution also demonstrates remarkable breadth through its ethorobotics research program, which draws on animal behavior and ecology to reimagine human-robot social relationships. Work on companion robots for elderly care has produced field-tested solutions addressing genuine societal needs, earning widespread academic recognition. Meanwhile, BME's foundational contributions to nonlinear adaptive control — particularly the development of robust fixed point transformation methods that bypass traditional Lyapunov techniques — reflect the institution's strength in rigorous mathematical foundations for control engineering. For prospective students and collaborators, BME offers an intellectually vibrant environment where theoretical depth meets real-world application, bridging cutting-edge robotics research with pressing human and industrial challenges.

Research Focus

Key Achievements

34
H-Index
393
Papers
6,181
Total Citations
317
Faculty & Researchers
🏆 Most Cited Paper
Symbiotic human-robot collaborative assembly
546 citations · 2019
📊 Avg Citations/Paper: 16
📈 Most Prolific Year: 2021 (30)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Human–computer interaction, Mathematics

Top Papers

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Faculty & Researchers

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