Elaine Shaver
Papers
1
Total Citations
2
H-Index
1
About
Elaine Shaver’s research lies at the intersection of accessible robotics education and practical algorithmic implementation, with a focus on low-cost platforms that democratize hands-on learning in computer science. Her most cited work, “A tale of two platforms: low-cost robotics in the CS curriculum” (2009, 2 citations), demonstrates how inexpensive robots like the iRobot Create and IPRE Myro/Scribbler can support sophisticated algorithms—specifically, a vision-based FastSLAM system for landmark mapping. By proving that these affordable platforms are educationally scalable, Shaver has provided a blueprint for integrating real-world robotics into curricula without prohibitive costs. Her contributions empower students and researchers to explore simultaneous localization and mapping (SLAM) in accessible settings, bridging theory and practice. Though her citation count is modest, the impact of her work is evident in its practical utility for teaching and prototyping. Shaver’s research underscores a commitment to making advanced robotics concepts tangible, offering a compelling model for low-cost, high-impact educational tools that inspire the next generation of engineers.
Research Focus
Key Achievements
Top Papers
- 1A tale of two platforms: low-cost robotics in the CS curriculum2 citations · 2009