Francisco Vina

KTH Royal Institute of Technology

Papers

5

Total Citations

106

H-Index

5

About

Francisco Viña is a roboticist whose research focuses on enabling robots to interact robustly and flexibly with unstructured, human-centered environments. His core contributions lie in model-free manipulation, adaptive control, and human-robot collaboration, addressing fundamental challenges in tool use, door and drawer opening, and bimanual assembly. Viña’s most cited work, “Online contact point estimation for uncalibrated tool use” (44 citations), tackles the critical problem of robots grasping and manipulating tools without precise prior calibration, a key step toward versatile domestic and industrial robots. He further advanced adaptive control with “Open sesame!” (23 citations), which introduced force/velocity strategies for opening unknown doors, and developed a model-free methodology for manipulating doors and drawers with fixed-grasps (19 citations), eliminating the need for prior kinematic knowledge. His research on estimating human-imposed constraints during joint object manipulation (10 citations) and switched control for bimanual folding assembly (10 citations) demonstrates a sustained commitment to safe, adaptive human-robot interaction. Viña’s work is essential reading for researchers in manipulation, human-robot collaboration, and autonomous systems, providing practical, uncertainty-tolerant solutions that move robots closer to seamless operation in everyday environments.

Research Focus

Key Achievements

5
H-Index
5
Papers
106
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Online contact point estimation for uncalibrated tool use
44 citations · 2014
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: KTH Royal Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago