Sensor Stream Prioritization for Low-Latency Robot Teleoperation
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Solution Overview
Problem
Robotic teleoperation systems face challenges with real-time data processing and transmission due to network limitations, leading to data loss, inadequate control, and incomplete data retrieval for future use.
Innovation Solution
A method for sensor data processing that involves recording, combining, and transmitting sensor streams efficiently, using intelligent fusion and routing techniques to reduce bandwidth and latency, enabling real-time or near-real-time teleoperation of multiple robots by prioritizing data transmission over multiple network channels and dynamically adjusting based on network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is transmitted in real-time over network uplinks, then teleoperation control is improved, but network bandwidth capacity is exceeded and data loss occurs
Solution Approach 1:
The patent extracts and transmits only the most critical sensor data elements that are essential for teleoperation control, separating them from the complete sensor data set. This selective extraction allows reliable transmission of control-relevant information while avoiding network overload from transmitting all sensor data.
Solution Approach 2:
The patent applies different transmission qualities and priorities to different sensor data streams based on their importance for teleoperation. Critical data receives higher priority and more reliable transmission channels, while less critical data is transmitted with lower priority or compressed more aggressively, optimizing network resource allocation.
2Loss of information
If all sensor streams are transmitted simultaneously, then complete data availability is improved, but network latency increases
Solution Approach 1:
The patent segments sensor data into multiple priority levels and transmission groups, allowing critical data to be transmitted first with lower latency. Non-critical data is transmitted subsequently or on-demand, ensuring complete data availability over time without requiring simultaneous transmission of all streams.
Solution Approach 2:
The patent performs preliminary processing and prioritization of sensor data before transmission, identifying and preparing critical data for immediate transmission. This preliminary action ensures that essential information is transmitted with minimal latency while maintaining the option to transmit additional data later.
3Loss of information
If multiple sensor streams are recorded and stored, then data recall capability is improved, but storage requirements and processing complexity increase
Solution Approach 1:
The patent extracts and stores only the essential sensor data elements that are most likely to be needed for recall, rather than storing complete sensor streams. This selective extraction reduces storage requirements and simplifies data management while maintaining the ability to recall critical information.
Solution Approach 2:
The patent implements a strategy of discarding less critical sensor data or storing it in compressed/summarized form, while preserving essential data for recovery. This approach reduces storage and processing complexity while maintaining data recall capability for important information when needed.
Data Source
AI summary
A method for remote operation of a robot, preferably including: recording a set of sensor streams; transmitting a transmission stream; selecting a received stream for display; and/or displaying the selected stream. A system, preferably including a robot and a remote operation system connected to the robot by one or more communication networks.