Michal Kapinus

Brno University of Technology

Papers

9

Total Citations

130

H-Index

6

About

Michal Kapinus is a prominent researcher specializing in human-robot interaction, augmented reality interfaces, and end-user robot programming. His work addresses one of modern robotics' most pressing challenges: making industrial collaborative robots accessible to non-expert users without requiring specialized programming knowledge. Kapinus has made significant contributions through his development of innovative spatial augmented reality (SAR) frameworks that simplify robot programming. His most influential work, garnering 43 citations, introduced a hybrid approach combining interactive spatial augmented reality with head-mounted displays, demonstrating measurable reductions in user workload and programming time compared to traditional methods. This research forms part of a cohesive body of work exploring how AR environments can intuitively mediate human-robot collaboration in industrial settings. Beyond interface design, Kapinus has thoughtfully incorporated Human-Computer Interaction methodologies — including personas, scenarios, and use cases — into Human-Robot Interaction development, a relatively underexplored area at the time. His investigations into multimodal interaction, virtual object selection in cluttered AR environments, and solutions for physical reachability constraints in handheld AR reflect a researcher committed to practical, user-centered solutions. With over 130 cumulative citations, his research continues shaping how industries can democratize robot programming for everyday workers.

Research Focus

Key Achievements

6
H-Index
9
Papers
130
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Combining Interactive Spatial Augmented Reality with Head-Mounted Display for End-User Collaborative Robot Programming
43 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Brno University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago