Papers

10

Total Citations

71

H-Index

5

About

Bryce Ikeda is a leading researcher at the intersection of human-robot interaction (HRI), mixed reality (MR), and end-user robot programming. His work centers on making robots more accessible and debuggable for non-expert users through innovative augmented and virtual reality interfaces. Ikeda’s major contributions include the development of **PRogramAR**, an AR system that empowers non-programmers to task robots using intuitive visual cues, and **MARCER**, a multimodal system that leverages large language models to translate natural language into executable robot actions. He also pioneered the **Cyber-Physical Control Room**, a mixed reality interface for remote teleoperation that provides both egocentric and exocentric perspectives, significantly improving situational awareness. His foundational work on visual debugging tools for roboticists has garnered over 17 citations, highlighting its impact on practical robot programming. Ikeda has been instrumental in organizing the **VAM-HRI** workshops, fostering a community around mixed reality in robotics. With over 70 total citations across his top papers, his research is shaping the future of intuitive, scalable human-robot collaboration.

Research Focus

Key Achievements

5
H-Index
10
Papers
71
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Advancing the Design of Visual Debugging Tools for Roboticists
17 citations · 2022
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Colorado Boulder, University of North Carolina at Chapel Hill

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago