Federico Patota
Papers
5
Total Citations
36
H-Index
4
About
Federico Patota is a robotics researcher whose work bridges humanoid locomotion, physical human-robot interaction, and assistive robotics. His key contributions center on real-time control strategies for dynamic, interactive scenarios—from pursuit-evasion between humanoids to ballroom dance partners. In his most cited work, Patota developed control schemes for a real-time pursuit-evasion problem with humanoid robots (10 citations), where a pursuer enters the evader’s safety zone and the evader executes fast evasive motions. He also advanced the field of physical human-robot interaction through a series of studies on stability and variable admittance control for mobile robots (cumulatively over 20 citations), addressing the critical gap in how these controllers apply to mobile platforms versus traditional manipulators. Additionally, Patota pioneered a model predictive control approach for the Partner Ballroom Dance Robot (5 citations), using a dynamic dancer model based on a variant of the 3D Linear Inverted Pendulum Mode that includes swing foot dynamics. His work has direct implications for safer, more responsive robots in human environments, making him a notable contributor to the growing field of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Real-time pursuit-evasion with humanoid robots10 citations · 2017
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- 4A model predictive control approach for the Partner Ballroom Dance Robot5 citations · 2015
- 5