Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning

Understand

Surgical robot automation has attracted increasing research interest over the past decade, expecting its potential to benefit surgeons, nurses and patients.

• Recently, the learning paradigm of embodied intelligence has demonstrated promising ability to learn good control policies for various complex tasks, where embodied AI simulators play an essential role to facilitate relevant research.
• However, existing open-sourced simulators for surgical robot are still not sufficiently supporting human interactions through physical input devices, which further limits effective investigations on how the human demonstrations would affect policy learning.
• In this work, we study human-in-the-loop embodied intelligence with a new interactive simulation platform for surgical robot learning.