Kelen Cristiane Teixeira Vivaldini

Universidade Federal de São Carlos, Universidade de São Paulo, Universidade de Sorocaba

Papers

15

Total Citations

196

H-Index

8

About

Kelen Cristiane Teixeira Vivaldini is a Brazilian robotics and automation researcher whose work sits at the intersection of intelligent warehousing, autonomous navigation, and human-robot interaction. Best known for her foundational contributions to robotic forklift systems and intelligent warehouse automation — her 2010 paper on routing, path planning, and auto-localization has accumulated 57 citations — she has spent over a decade advancing the practical deployment of Automated Guided Vehicles (AGVs) in industrial logistics environments. Her research addresses critical operational challenges including battery state estimation, PID-based trajectory control, and adaptive Monte Carlo localization, ensuring AGVs perform reliably in real-world conditions. More recently, Vivaldini has broadened her scope to encompass UAV path planning, deep learning-based inspection robotics, and extended reality interfaces for robot teleoperation, reflecting a commitment to emerging technologies shaping the factories of the future. Her development of Plannie, a benchmark framework for path planning algorithms, demonstrates her dedication to reproducible, rigorous research infrastructure. Beyond technical contributions, she has championed educational robotics through the FOCORE network, promoting accessible robotics education across Brazilian and Latin American communities. With over 180 cumulative citations, her work meaningfully shapes both industrial automation research and the next generation of roboticists.

Research Focus

Key Achievements

8
H-Index
15
Papers
196
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Robotic forklifts for intelligent warehouses: Routing, path planning, and auto-localization
57 citations · 2010
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 69
🏛 Institutions: Universidade Federal de São Carlos, Universidade de São Paulo, Universidade de Sorocaba

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 18 days ago