zdeeno.cz 50.0755° N  14.4378° E status: teaching

Zdeněk
Rozsypálek, Ph.D.

DOCTOR OF PHILOSOPHY · CZECH TECHNICAL UNIVERSITY IN PRAGUE · Ph.D.

researcher · chronorobotics laboratory · czech technical university in prague

Machine learning enthusiast and computer vision expert. Sports lover, with a keen interest in macroeconomics and politics.

home lab

Chronorobotics
Laboratory

Long-term autonomy through understanding of time. A typical robot map is a frozen snapshot. Chronorobotics adds time to it, not as a linear clock but as the rhythms of the place: daily routines, weekly cycles, seasons. A robot that knows them can forecast how its world will look, and keep working in it for months. Part of the Department of Computer Science, FEE, Czech Technical University in Prague, led by doc. Tomáš Krajník.

  1. Maps that know timespatio-temporal models (FreMEn, warped hypertime) that turn static maps into forecasts of change
  2. Human-aware robotslong-term maps of pedestrian flows, so robots move when and where they won't get in people's way
  3. Navigation that lastsvisual teach and repeat that stays stable through light, weather and seasons
  4. Biohybrid systemsrobots that observe and interact with living honeybee colonies for months

field work · funded research

Robots in
the wild

I build robots that leave the lab and keep working in the real world: outdoors, for months, through changing light, weather and seasons. My Visual Teach and Generalize papers take teach-and-repeat navigation to places like farms and orchards, where every row looks alike. I'm also a core member of the team on four European projects where robots and computer vision meet biology and farming: tracking the honeybee queen through the colony, following individual workers, bringing wild pollinators back into crop farming, and building lightweight robots for sustainable agriculture. On the industrial side, I work on ROBOPROX, the Czech flagship project in robotics, and I contributed to RCI, CTU's Research Center for Informatics.

Detection and tracking of bee workersbees · vision
Visual teach and generalize: navigation in the real worldrobots · field deployment

competitions · field trials

selected papers · 12 in total

all on Google Scholar
  1. 2026 An open-source high-precision hive for long-term honeybee observation and research Biology Open
  2. 2025 Rapid deployment of visual path following via average representation first author J. Intelligent & Robotic Systems
  3. 2024 Predictive data acquisition for lifelong visual teach, repeat and learn IEEE RA-L
  4. 2023 Visual teach and generalise (VTAG): scalable robot navigation in horticultural environments Computers & Electronics in Agriculture
  5. 2023 Multidimensional particle filter for long-term visual teach and repeat in changing environments first author IEEE RA-L
  6. 2022 Contrastive learning for image registration in visual teach and repeat navigation first author Sensors
  7. 2021 Mobile manipulator for autonomous localization, grasping and precise placement of construction material (MBZIRC 2020) IEEE RA-L

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