Enhanced Multi-Modal Depth Sensing for Automated Surgical Robots

An advanced system and method for multi-modal depth sensing in automated surgical robots, enabling high-resolution, real-time 3D point cloud generation and improved surgical tool tracking.

The original patent disclosed a system for multi-modal sensing of three-dimensional position information of a surface of an object, but had limitations in terms of imaging modalities, depth measurement accuracy, and real-time tracking capabilities. The new inventive concept addresses these limitations by introducing a multi-modal sensor array, machine learning-based refinement, and high-speed image capture, enabling more accurate and efficient surgical procedures.

The enhanced system comprises a multi-modal sensor array that captures a plurality of images of an object in a surgical scene using a combination of visible, infrared, and ultrasonic imaging modalities. The processing unit generates a high-resolution, three-dimensional point cloud of the object based on the plurality of images, and applies machine learning algorithms to refine the point cloud and improve the accuracy of the depth measurements. The system enables real-time tracking and adjustment of surgical tools, ensuring more precise and efficient surgical procedures.

The new claims introduce the novel concept of a multi-modal sensor array, machine learning-based refinement, and high-speed image capture, which provide a significant improvement over the original patent's limitations. The inventive step lies in the combination of these features, which enables high-resolution, real-time 3D point cloud generation and improved surgical tool tracking.

Alternative embodiments may include the use of additional imaging modalities, such as X-ray or optical coherence tomography, or the integration of the system with other surgical tools and instruments. Variations may include the use of different machine learning algorithms or the adaptation of the system for use in other medical specialties or industries.

The enhanced multi-modal depth sensing system has significant commercial potential in the medical device industry, particularly in the field of robotic-assisted surgery. The system's ability to provide high-resolution, real-time 3D point cloud generation and improved surgical tool tracking can improve surgical outcomes, reduce procedure time, and enhance patient safety.