Laura Stark

University of California, Berkeley

Papers

7

Total Citations

57

H-Index

4

About

Laura Stark is a pioneering researcher in telerobotics and human-machine interaction, with a career spanning from foundational theoretical work to advanced vision-based control systems. Her research focuses on enhancing telemanipulation through visual feedback, supervisory control architectures, and human coordination strategies for robotic systems. Stark’s major contributions include developing on-screen visual enhancements that superimpose guidance cues onto video feeds to improve operator depth perception and precision in telerobotic tasks—work that has garnered 17 citations. She also designed a hierarchical supervisory control system using model-based vision feedback (16 citations), enabling high-level commands to guide low-level robot actions. Her early influential paper “Telerobotics: problems and research needs” (1988, 9 citations) outlined key challenges and helped shape the field’s research agenda. Stark’s investigations into cooperative robot control laws (6 citations) and human coordination strategies for coarse motion in biorobotics (4 citations) demonstrate her sustained focus on making human-robot interaction more intuitive and efficient. Her work on active model-based algorithms for pose estimation and camera control further highlights her innovative approach to integrating human visual processes into robotic systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
57
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
On-the-screen visual enhancements for a telerobotic vision system
17 citations · 2005
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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