Delayed Telop Aid Predictive Video for Teleoperation Latency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Teleoperation of unmanned vehicles is hindered by communication delays, leading to control instabilities, cognitive fatigue, and reduced situational awareness, especially in cluttered environments, which can result in accidents and decreased effectiveness.
Innovation Solution
The Delayed Telop Aid (DTA) system predicts robot motion, creates synthetic images to simulate real-time video feed, and performs closed-loop control to ensure the robot follows operator commands, abstracting away latency-sensitive aspects of robot control and stabilizing behavior despite communication delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time video feed is used for teleoperation, then operator situational awareness is improved, but communication delays cause control instabilities and cognitive fatigue
Solution Approach 1:
The system performs preliminary actions by predicting future robot poses and pre-rendering synthetic video frames before the actual delayed frames would arrive. This allows the operator to see predicted future states immediately, eliminating the perception of delay while maintaining control stability through the predictive model.
Solution Approach 2:
The system creates synthetic copies of video frames through rendering predicted robot poses rather than transmitting actual delayed camera footage. These synthetic frames are generated based on predicted robot states and rendered in real-time, providing operators with timely visual feedback that mimics real-time operation.
2Speed
If communication bandwidth is increased to reduce delays, then control responsiveness is improved, but system complexity and cost increase
Solution Approach 1:
The system replaces the mechanical communication bottleneck with a computational solution. Instead of increasing bandwidth hardware, the system uses predictive algorithms and real-time rendering to synthesize video frames, substituting computational processing for physical communication infrastructure improvements.
3Productivity
If predictive display algorithms are used to eliminate lag, then operator effectiveness is improved, but the system requires abstracting away latency-sensitive control aspects
Solution Approach 1:
The system introduces a predictive model as an intermediary between the operator controls and the actual robot execution. This predictive intermediary generates synthetic feedback based on predicted robot states, mediating the interaction to eliminate perceived delay while managing complexity through modular architecture.
Data Source
AI summary
The proposed system, Delayed Telop Aid (DTA), improves the teleoperator's ability to control the vehicle in a three step process. First, DTA predicts robot motion given the operators commands. Second, DTA creates synthetic images to produce a video feed that looks as if the robot communication link had no delay and no reduced bandwidth. Finally, DTA performs closed loop control on the robot platform to ensure that the robot follows the operator's commands. A closed loop control of the platform makes sure that the predicted pose after the delay (and therefore the image presented to the operator) is achieved by the platform. This abstracts away the latency-sensitive parts of the robot control, making the robot's behavior stable in the presence of poorly characterized latency between the operator and the vehicle.