Telerobot Operator Assistance via Scene Uncertainty Feedback
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Solution Overview
Problem
In tele-robotic systems, occlusions lead to uncertainty in object pose estimation, which hampers scene understanding and AI-assisted tasks, especially in remote operation scenarios where operators struggle to recognize beneficial scene modifications.
Innovation Solution
A method that assists operators by physically sensing the robot's working area, detecting objects, estimating object properties and relations, calculating actual and modified scene uncertainties, and communicating scene modifications that improve uncertainty through an operator interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the operator manually manipulates objects to improve scene understanding, then the robot's scene understanding may improve, but the operator cannot recognize which manipulation would be advantageous
Solution Approach 1:
The system calculates and presents uncertainty information back to the operator, showing which objects have high pose estimation uncertainty and which scene modifications would reduce this uncertainty. This feedback loop enables the operator to make informed decisions about which objects to manipulate and how to modify the scene to improve overall scene understanding.
Solution Approach 2:
The system acts as an intermediary between the robot's sensor data and the operator's decisions. It processes the raw sensor information, calculates uncertainty metrics, and translates this into actionable recommendations, bridging the gap between the robot's perception capabilities and the operator's manipulation actions.
2Measurement precision
If the robot is equipped with multiple sensors to improve scene understanding, then measurement precision improves, but the operator cannot understand which sensor results must be improved
Solution Approach 1:
The system provides feedback to the operator about which specific sensor measurements have high uncertainty and which would benefit most from improvement. This targeted feedback simplifies the complex multi-sensor system by highlighting only the critical measurement gaps that need attention.
Solution Approach 2:
The system changes the parameter representation from raw sensor data to uncertainty metrics. By transforming the complex sensor information into uncertainty values, the system makes the data more interpretable and actionable for the operator, allowing them to understand which measurements need improvement without being overwhelmed by the complexity of the sensor system.
3Loss of information
If occluded objects are present in the scene, then object pose estimation uncertainty increases, but the operator cannot determine which objects cause the occlusion and how to resolve it
Solution Approach 1:
The system provides feedback to the operator identifying which objects are causing occlusion and which pose estimations are most affected. This feedback includes uncertainty metrics that highlight the impact of occlusions, enabling the operator to prioritize which occluding objects to move or remove to maximize improvement in scene understanding.
Data Source
AI summary
Disclosed is a method and corresponding system for assisting an operator in operating a telerobot system. The telerobot system comprises a robot, at least one sensor, a processing unit and an operator interface. First the system physically senses a working area of the robot by the at least one sensor. Based on the sensor information, the system detects objects and estimates at least one of an object property, object state and object relation to another object. Further, the system estimates, for at least one object, an actual scene uncertainty related to the object, and predicts a modified scene uncertainty related to the object assuming a scene modification. Finally, it determines whether the modified scene uncertainty has improved compared to the actual scene uncertainty and, if an improvement is determined, communicates the corresponding scene modification using the operator interface.