University of Amsterdam
🇳🇱 NL
Papers
354
Total Citations
11,934
H-Index
57
Researchers
298
About
The University of Amsterdam stands as a uniquely interdisciplinary research powerhouse in robotics, AI, and human-robot interaction, blending cutting-edge technical innovation with deep social and philosophical inquiry. Its research portfolio spans an impressive range of domains — from fundamental machine learning and probabilistic reasoning to social robotics, autonomous navigation, and the ethics of intelligent systems. Among the institution's most significant technical contributions is pioneering work in high-dimensional Bayesian optimization through random embeddings, a breakthrough that has become foundational for robotics planning, sensor placement, and algorithm configuration, accumulating over 600 citations across related publications. Researchers have also made substantial advances in 3D human pose estimation and context-aware path prediction for mobile platforms — capabilities essential to autonomous vehicles and service robots operating in dynamic real-world environments. The landmark SPENCER project, deploying socially aware service robots in busy airports, exemplifies UvA's strength in translating theoretical advances into real-world autonomous systems. What truly distinguishes Amsterdam is its commitment to human-centered robotics. With influential work measuring robot acceptance among elderly users, examining social robots in pediatric healthcare, and interrogating AI's role in journalism, UvA researchers have shaped how the global community thinks about the societal integration of intelligent machines. Even philosophically provocative inquiries — such as indicators of consciousness in animals and machines — reflect the institution's ambition to ask questions others overlook. Prospective students and collaborators will find a rare environment where roboticists, computer scientists, social scientists, and ethicists work in genuine dialogue, producing research that is both technically rigorous and profoundly relevant to humanity's evolving relationship with intelligent technology.
Research Focus
Key Achievements
Top Papers
- 1Non-reciprocal robotic metamaterials472 citations · 2019
- 2Deep 3D human pose estimation: A review383 citations · 2021
- 3Bayesian Optimization in a Billion Dimensions via Random Embeddings372 citations · 2016
- 4
- 5Measuring acceptance of an assistive social robot: a suggested toolkit261 citations · 2009
- 6Bayesian optimization in high dimensions via random embeddings242 citations · 2013
- 7Training in Percutaneous Nephrolithotomy—A Critical Review222 citations · 2008
- 8Cold technologies versus warm care?218 citations · 2009
- 9
- 10Can social robots help children in healthcare contexts? A scoping review157 citations · 2019
Faculty & Researchers
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