Impedance Control
Impedance control allows robots to interact safely and effectively with their environment by regulating the relationship between force and motion. Current research focuses on improving robustness and adaptability in various contexts, including handling heavy payloads, human-robot collaboration, and unstructured environments, often employing techniques like adaptive control, disturbance observers, and data-driven learning within impedance control frameworks. These advancements are crucial for expanding robotic capabilities in diverse fields such as manufacturing, space exploration, and medical applications, enabling more sophisticated and reliable interactions with the physical world.
Papers
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus, Shirley Coyle, Cosimo Della Santina
A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control
Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz