Enhanced Roboticized Surgery System with Intelligent Control

Publication ID: 24-11857278_0001_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Roboticized Surgery System with Intelligent Control,” Published Technical Disclosure No. 24-11857278_0001_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857278_0001_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,278.

Summary of the Inventive Concept

An advanced roboticized surgery system that integrates gaze-tracking, real-time instrument tracking, redundant control mechanisms, and adaptive learning to enhance surgeon control, reduce eye fatigue, and improve overall surgical performance.

Background and Problem Solved

The original patent, 'Roboticized surgery system with improved control,' addressed the limitations of prior art roboticized systems for performing surgical operations. However, the original patent still had inherent limitations, such as the potential for eye fatigue, the need for manual adjustments, and the lack of adaptive learning capabilities. The new inventive concept addresses these limitations by introducing innovative features that make the roboticized surgery system more efficient, safer, and more intuitive to use.

Detailed Description of the Inventive Concept

The enhanced roboticized surgery system comprises a control console with an integrated gaze-tracking module, which optimizes surgeon control and reduces eye fatigue. The system also features real-time instrument tracking, automatically adjusting instrument movement based on the surgeon's gaze direction. Additionally, the system incorporates a redundant control mechanism, enabling seamless transition between manual and autonomous control modes. Furthermore, the system includes a surgical instrument with a built-in sensor to detect and adjust for instrument drift during prolonged procedures. The adaptive learning module refines instrument movement and control based on surgeon performance data, ensuring continuous improvement in surgical outcomes.

Novelty and Inventive Step

The new claims introduce a novel combination of gaze-tracking, real-time instrument tracking, redundant control mechanisms, and adaptive learning, which are not present in the original patent. These features provide a significant improvement over the prior art, offering a more efficient, safer, and more intuitive roboticized surgery system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating additional sensors, such as force sensors or tactile sensors, to further enhance the system's capabilities. Other variations could involve adapting the system for use in different surgical specialties or incorporating machine learning algorithms to predict and prevent potential surgical complications.

Potential Commercial Applications and Market

The enhanced roboticized surgery system has significant commercial potential in the medical device industry, particularly in the fields of laparoscopic and endoscopic surgery. The system's advanced features and improved performance could lead to increased adoption and market share, as well as potential partnerships with hospitals and surgical centers.

Field of Art

Robotic surgical systems with human-machine interface technologies, requiring advanced knowledge in robotics, surgical instrumentation, computer vision, and human-computer interaction design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or robotics specialist with expertise in surgical robotics, computer vision tracking systems, and advanced control interfaces, typically holding a PhD or equivalent professional experience in medical technology engineering

Obviousness Rationale

A PHOSITA would recognize that the PTD's variations represent predictable technological extensions of the source patent's core robotic surgery control system. The disclosed enhancements like gaze-tracking, instrument drift compensation, and adaptive learning are logical incremental improvements using known techniques in human-machine interaction and robotic control systems. These variations solve recognized limitations in existing surgical robotics by applying well-established engineering principles of sensor integration and machine learning.

Obvious Combinations & Variations

Source Patent Element
Eye tracking system for controlling robotic arms
PTD Variation
Integrated gaze-tracking module to optimize surgeon control and reduce eye fatigue
Obviousness Reasoning
Extending eye tracking functionality to improve ergonomic performance is a predictable design optimization using known human-computer interaction techniques
Source Patent Element
Robotic arms with camera and surgical instrument control
PTD Variation
Real-time instrument tracking automatically adjusting movement based on surgeon's gaze direction
Obviousness Reasoning
Implementing intelligent tracking and automatic repositioning represents a straightforward application of computer vision and sensor integration technologies
Source Patent Element
Surgeon console with manual control interfaces
PTD Variation
Redundant control mechanism enabling transition between manual and autonomous control modes
Obviousness Reasoning
Providing multiple control paradigms is a standard engineering approach to enhance system flexibility and user adaptability
Source Patent Element
Robotic surgical instrument with basic positional control
PTD Variation
Surgical instrument with built-in sensor to detect and adjust for instrument drift
Obviousness Reasoning
Adding drift compensation sensors is a predictable solution to a known precision limitation in robotic surgical systems
Source Patent Element
Basic robotic system control interface
PTD Variation
Adaptive learning module refining instrument movement based on surgeon performance data
Obviousness Reasoning
Implementing machine learning for performance optimization is a standard technique in advanced control systems design
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857278 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations of robotic surgical system control interfaces and methods to be obvious extensions of existing technological capabilities, rendering potential patent claims in this domain anticipated and non-patentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,278
TitleRoboticized surgery system with improved control
Assignee(s)Asensus Surgical Italia, s.r.l.