Papers
13
Total Citations
77
H-Index
5
About
Jana Jost is a leading researcher at the intersection of human-robot interaction, warehouse logistics, and decentralized control systems. Her work focuses on making industrial robots safe and intuitive collaborators rather than isolated machines behind fences. Her most-cited paper (16 citations) introduces a groundbreaking safety concept using augmented reality and heterogeneous fleet management to enable truly collaborative human-robot warehouses. She developed a novel task description language (11 citations) that allows workers to communicate naturally with robot fleets in decentralized systems, and her research on social transport robots (10 citations) examines how factors like height, velocity, and emotional expression affect human collaboration. Jost has pioneered the application of smart glasses for logistics control (6 citations) and modeled proxemics for social robot systems (6 citations), helping predict how humans naturally position themselves around robots. Her work on person re-identification using depth cameras (5 citations) enables mobile robots to recognize individual workers, while her blockchain-based approach to private data handling (5 citations) addresses critical privacy concerns in human-technology interaction. Through her comprehensive research program spanning safety, natural interaction, and social robotics, Jost is fundamentally reshaping how humans and robots work together in modern logistics and production environments.
Research Focus
Key Achievements
Top Papers
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- 6Person Re-Identification on a Mobile Robot Using a Depth Camera5 citations · 2022
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- 10Integrating CPS into Socio-Technical Systems4 citations · 2019