Relative Robot Base Positioning Using Externally Positioned Imagers
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Solution Overview
Problem
Determining the relative positioning of subsystem components in surgical robotic systems is challenging, especially when components are not visible by a single camera due to occlusions or independent movement of robotic arms and patient beds.
Innovation Solution
A system and method using computer vision and optical tracking to determine the relative positions of subsystem components, including robotic arms, surgeon consoles, and patient beds, by employing multiple cameras and light emitters with unique identification patterns, allowing for triangulation and coordinate system transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple independently movable robotic arms and patient beds are used in surgical robotic systems, then system versatility and adaptability are improved, but determining relative positioning between components becomes more difficult
Solution Approach 1:
The patent introduces light emitters as intermediary elements attached to each robotic arm and patient bed. These emitters serve as mediators that enable the camera system to detect and determine the relative positions of independently movable components through optical tracking, resolving the positioning difficulty caused by component independence and movement.
Solution Approach 2:
The patent replaces traditional mechanical positioning systems with an optical tracking system. Instead of using mechanical linkages or encoders to track positions, the system uses cameras to capture images of light emitters and computationally determines relative positions, enabling accurate tracking of independently movable components without mechanical constraints.
2Device complexity
If a single camera is used to determine relative positions of all subsystem components, then device complexity is reduced, but measurement accuracy deteriorates when components are occluded or not visible
Solution Approach 1:
The patent divides the camera system into multiple camera units, each responsible for tracking specific components or regions. This segmentation allows the system to maintain measurement precision across the entire surgical field by distributing the tracking workload across multiple cameras, with each camera focusing on visible components in its field of view.
Solution Approach 2:
The patent transitions from a single-camera 2D tracking system to a multi-camera 3D tracking system. By adding spatial dimensions through multiple camera viewpoints, the system can determine relative positions even when components are occluded from any single camera's view, using triangulation and coordinate transformations to achieve accurate 3D positioning.
3Ease of operation
If robotic arms are allowed to move independently across the operating room floor, then ease of operation and setup are improved, but reliability of maintaining coordinated positions deteriorates
Solution Approach 1:
The patent implements a feedback system where cameras continuously track the positions of light emitters on robotic arms and patient beds. This real-time positional feedback is fed back to the control system, which uses coordinate transformations to calculate relative positions and adjust arm movements accordingly, ensuring coordinated motion despite independent physical movement capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate determination of relative positions of subsystem components even in occluded environments, facilitating coordinated motion, automatic movements, and collision avoidance in surgical robotic systems.
Implementation Method 1
employing multiple cameras and light emitters with unique identification patterns, allowing for triangulation and coordinate system transformations
Data Source
AI summary
A system for determining relative positions of subsystems of a robot-assisted surgical system includes a subsystem component including a plurality of manipulator arms and a surgeon console. Each subsystem component includes at least one of an optical tracker and a light emitter. Image data from the optical trackers is analyzed to determine the relative positions of the subsystems.


