Papers

9

Total Citations

238

H-Index

7

About

Piotr Mirowski is a versatile researcher whose work spans indoor localization, robot navigation, reinforcement learning, and — more recently — the intersection of artificial intelligence and creative performance. Early in his career, Mirowski made significant contributions to wireless positioning systems, developing probabilistic approaches to radio-frequency fingerprinting that enabled accurate indoor localization without costly manual surveying infrastructure, work that attracted considerable attention with 67 citations for his 2014 paper on probabilistic RF localization and spawning a series of studies on autonomous RF surveying robots and optimal signal map construction. He subsequently turned his attention to robot navigation, pioneering one-shot and large-scale deployable reinforcement learning approaches that addressed the critical challenge of sample efficiency in real-world robotics, earning over 50 citations for his 2017 work on interactive replay. In recent years, Mirowski has broken new ground in human-AI collaboration within the performing arts, embedding large language models into live comedy and improvisational theatre at the Edinburgh Festival Fringe, critically examining how AI can serve as a genuine creative partner. His 2024 study on LLMs and comedians has already garnered 33 citations, underscoring the timeliness and originality of this emerging research direction.

Research Focus

Key Achievements

7
H-Index
9
Papers
238
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Probabilistic Radio-Frequency Fingerprinting and Localization on the Run
67 citations · 2014
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Alcatel Lucent (Germany), Google DeepMind (United Kingdom), Microsoft Research (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago