Francisco Vina
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
Top Papers
- 1Online contact point estimation for uncalibrated tool use44 citations · 2014
- 2
- 3Model-free robot manipulation of doors and drawers by means of fixed-grasps19 citations · 2013
- 4
- 5Bimanual folding assembly: Switched control and contact point estimation10 citations · 2016