About

Jan Czarnowski is a leading researcher at the intersection of soft robotics and computer vision, with a particular focus on enabling autonomous systems to perceive and interact with their environments. His work spans two seemingly distinct but complementary domains: the development of novel soft robotic actuators and the creation of advanced dense 3D reconstruction algorithms for visual SLAM. In soft robotics, Czarnowski pioneered the STIFF-FLOP module, a groundbreaking MRI-compatible silicone manipulator actuated by pressure, which has garnered 98 citations and opened new possibilities for medical soft robots. His critical analysis of technology gaps in human-machine interfaces for autonomous construction robots (61 citations) has also shaped the field. In computer vision, Czarnowski made significant contributions with DeepFusion (60 citations), a real-time dense 3D reconstruction system for monocular SLAM that leverages single-view depth and gradient predictions, and CodeMapping (53 citations), which introduces compact scene representations for dense mapping within sparse SLAM frameworks. His work bridges the gap between sparse and dense mapping, enabling more robust robotic perception. With over 270 total citations, Czarnowski’s research continues to drive innovation in both soft robotic actuation and real-time 3D scene understanding.

Research Focus

Key Achievements

4
H-Index
4
Papers
272
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
New STIFF-FLOP module construction idea for improved actuation and sensing
98 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Łukasiewicz Research Network - Industrial Research Institute for Automation and Measurements, Dyson (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago