Felipe Fronchetti

Virginia Commonwealth University

Papers

4

Total Citations

17

H-Index

2

About

Felipe Fronchetti is a researcher at the forefront of making robotics programming accessible to non-experts, with a particular focus on block-based programming environments and human-robot interaction. His work addresses a critical challenge: enabling end-users—from students to artists—to program increasingly complex robotic systems without traditional coding expertise. Fronchetti’s most cited paper, “Can guided decomposition help end-users write larger block-based programs? a mobile robot experiment” (2022, 10 citations), demonstrates his pioneering approach to helping users scale beyond simple, single-screen programs. He further extends this vision with Duplo, a block-based system for two-armed robots introduced in a 2024 comparative study, tackling the real-world complexity of industrial robotics. Notably, his work “RoboART: Artistic Robot Programming in Mixed Reality” (2024) bridges technology and creative expression, opening new avenues for artists to engage with articulated robots in sculpture, choreography, and immersive environments. With a growing portfolio that consistently pushes the boundaries of end-user programming, Fronchetti is shaping a future where powerful robotic tools are truly within everyone’s reach.

Research Focus

Key Achievements

2
H-Index
4
Papers
17
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Can guided decomposition help end-users write larger block-based programs? a mobile robot experiment
10 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Virginia Commonwealth University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago