Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics
Carlo Tiseo, Quentin Rouxel, Martin Asenov, Keyhan Kouhkiloui, Babarahmati, Subramanian Ramamoorthy, Zhibin Li, Michael Mistry

TL;DR
This paper evaluates a robust control architecture based on Fractal Impedance Control for medical robots, enabling safe, adaptive, and delay-tolerant interactions in teleoperation, rehabilitation, and ultrasound scanning without tuning adjustments.
Contribution
It introduces a FIC-based control architecture that is robust to delays, unstructured environments, and does not require tuning, facilitating safe and effective medical robot teleoperation.
Findings
Successful teleoperation of surgical, ultrasound, and rehabilitation tasks
Robustness to delays and unstructured environments demonstrated
Highlighting the need for improved robot embodiment for 3D tasks
Abstract
Medical robotics can help improve and extend the reach of healthcare services. A major challenge for medical robots is the complex physical interaction between the robot and the patients which is required to be safe. This work presents the preliminary evaluation of a recently introduced control architecture based on the Fractal Impedance Control (FIC) in medical applications. The deployed FIC architecture is robust to delay between the master and the replica robots. It can switch online between an admittance and impedance behaviour, and it is robust to interaction with unstructured environments. Our experiments analyse three scenarios: teleoperated surgery, rehabilitation, and remote ultrasound scan. The experiments did not require any adjustment of the robot tuning, which is essential in medical applications where the operators do not have an engineering background required to tune the…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · EEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering
