Isela Bonilla
Papers
22
Total Citations
254
H-Index
11
About
Isela Bonilla is a robotics and control systems researcher whose work centers on robot manipulator control, human-robot interaction, and rehabilitation robotics. Her most significant contributions lie at the intersection of impedance control, vision-based robot guidance, and adaptive control strategies, areas where she has consistently advanced both theoretical foundations and practical applications. Bonilla's early and most-cited work pioneered the integration of calibration-free, vision-based control—specifically camera-space manipulation—with impedance control frameworks for industrial robot manipulators, earning over 30 citations and establishing her as a key voice in uncalibrated visual servoing. Her rigorous Lyapunov-based design tools for impedance controllers and adaptive impedance control strategies addressing parametric uncertainty further cemented her theoretical contributions to robust robot control. Perhaps most notably, Bonilla extended her expertise into socially meaningful applications, developing wave-based teleoperators and haptic-augmented reality interfaces for motor rehabilitation therapy, helping patients with upper-limb deficits regain fine motor function. Her parameter identification work on direct-drive robots has also provided essential groundwork for accurate model-based control. With over 180 cumulative citations across her top publications, Bonilla's research represents a compelling bridge between rigorous control theory and real-world human-centered robotics applications.
Research Focus
Key Achievements
Top Papers
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- 4A vision-based, impedance control strategy for industrial robot manipulators18 citations · 2010
- 5A Dynamic-compensation Approach to Impedance Control of Robot Manipulators18 citations · 2010
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- 9A Lyapunov-based design tool of impedance controllers for robot manipulators14 citations · 2012
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